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DTSTART;TZID=America/Los_Angeles:20230222T161500
DTEND;TZID=America/Los_Angeles:20230222T173000
DTSTAMP:20260427T154726
CREATED:20230122T180801Z
LAST-MODIFIED:20230213T202959Z
UID:3040-1677082500-1677087000@colleges.claremont.edu
SUMMARY:Mathematical model for HIV-1 infection with stem cell and immune-therapy (Prof. Noufe Aljahdaly\, King Abdulaziz University / CGU)
DESCRIPTION:Title: Mathematical model for HIV-1 infection with stem cell and immune-therapy \nSpeaker: Noufe Aljahdaly\, Department of Mathematics\, King Abdulaziz University / CGU \nAbstract: The AIDS is a chronic disease. Its most common treatment is the antiretroviral therapy (cART) and the virus can be more effected if the patients stop using cART. The other problem is that the CD8+ T cells might be exhausted by persistent immune activation by cART. The researchers still exert their high efforts to reach the cure of HIV infection. Actually\, there are two cases that have achieved a cure of HIV-1 by stem cell (SC) transplantation who are known as London patient and Berlin patient. In this work\, we introduced the mathematical model of HIV-1 infection with stem cell therapy. The model was studied theoretically and the numerical solution was obtained to understand the effect of SC therapy. Our results realized that the virus of HIV-1 patient remains undetectable in patient blood after SC transplantation for a period of time. Then\, the patient may experience rebound within short period. These results are aligned with two medical cases in the literature. To better understand how London and Berlin patient got a cure by SC therapy while other patients did not achieve the same result\, we improved the mathematical model by taking in account the immune system response. We found that the cure of HIV-1 can be achieved by increasing the immune system response during receiving the SC therapy. \n\n\n\n\n\nNoufe is an associate professor of mathematics in the Department of Mathematics at King Abdulaziz University\, Saudi Arabia. She received her master degree in Mathematics from Oregon state University in 2012 and received her Ph.D. in Mathematics from the University of Alabama in 2017. She is a visiting researcher in CGU since Aug. 2022. Her research in applied mathematics\, mathematical modeling\, fluid dynamic and mathematical computation.
URL:https://colleges.claremont.edu/ccms/event/prof-noufe-aljahdaly/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230215T161500
DTEND;TZID=America/Los_Angeles:20230215T173000
DTSTAMP:20260427T154726
CREATED:20230122T180444Z
LAST-MODIFIED:20230209T173448Z
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SUMMARY:Quantum chromatic numbers of products of quantum graphs (Prof. Rolando De Santiago\, Purdue University)
DESCRIPTION:Title: Quantum chromatic numbers of products of quantum graphs \nSpeaker: Rolando De Santiago\, Department of Mathematics\, Purdue University \nAbstract: Quantum graphs are an operator space generalization of classical graphs that have emerged in different branches of mathematics including operator theory\, non-commutative topology and quantum information theory. We provide a brief introduction to quantum graphs and the quantum chromatic number of graphs. We define the lexicographic product of quantum graphs and investigate the quantum chromatic number of the resulting graph products. Additionally\, we discuss our work on developing the b-fold chromatic number for quantum graphs analogous to the classical case. \nThis is joint work with Meenakshi McNamara \n\n\n\n\n\nRolando is an assistant professor of mathematics in the Department of Mathematics at Purdue University. He considers himself a proud product of the LAUSD\, the community college\, and the Cal State systems which set him up to receive his Ph.D. in Mathematics from the University of Iowa in 2017. Afterward\, he went on to do a postdoc at UCLA where he was awarded the UC Presidential Postdoctoral Fellowship in 2018. His research in the structural aspects of group von Neumann algebras sits at the intersection of analysis\, geometric group theory\, representation theory\, and\, on very rare occasions\, quantum information theory.
URL:https://colleges.claremont.edu/ccms/event/prof-rolando-de-santiago/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.0999157;-117.7142668
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230208T161500
DTEND;TZID=America/Los_Angeles:20230208T173000
DTSTAMP:20260427T154726
CREATED:20230122T180304Z
LAST-MODIFIED:20230206T231015Z
UID:3038-1675872900-1675877400@colleges.claremont.edu
SUMMARY:The mathematics of neural networks: recent advances\, thoughts\, and the path forward (Prof. Mikhail Belkin\, UCSD)
DESCRIPTION:Title: The mathematics of neural networks: recent advances\, thoughts\, and the path forward \nSpeaker: Prof. Mikhail Belkin\, Department of Mathematics\, University of California San Diego \nAbstract: The recent remarkable practical achievements of neural networks have far outpaced our theoretical understanding of their properties. Yet\, it is hard to imagine that progress can continue indefinitely\, without deeper understanding of their fundamental principles and limitations. In this talk I will discuss some recent advances in the mathematics of neural networks and outline what\, in my opinion\, are some promising directions for future research. \n\n\n\n\n\nMikhail Belkin received his Ph.D. in 2003 from the Department of Mathematics at the University of Chicago. His research interests are in theory and  applications of machine learning and data analysis. Some of his well-known work includes widely used Laplacian Eigenmaps\, Graph Regularization and Manifold Regularization algorithms\, which brought ideas from classical differential geometry and spectral analysis to data science. His recent work has been concerned with understanding remarkable mathematical and statistical phenomena observed in deep learning. This empirical evidence necessitated revisiting some of the basic concepts in statistics and optimization.  One of his key recent findings is the “double descent” risk curve that extends the textbook U-shaped bias-variance trade-off curve beyond the point of interpolation. Mikhail Belkin has served on the editorial boards of the Journal of Machine Learning Research\, IEEE Pattern Analysis and Machine Intelligence and SIAM Journal on Mathematics of Data Science.
URL:https://colleges.claremont.edu/ccms/event/prof-mikhail-belkin/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.0999157;-117.7142668
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230201T161500
DTEND;TZID=America/Los_Angeles:20230201T173000
DTSTAMP:20260427T154726
CREATED:20230122T175931Z
LAST-MODIFIED:20230131T145826Z
UID:3037-1675268100-1675272600@colleges.claremont.edu
SUMMARY:Building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City (Prof. Joan Ponce\, Arizona State University)
DESCRIPTION:Title: Building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City\n\n\n\nSpeaker: Joan Ponce\, Department of Mathematics\, Arizona State University\n\nAbstract: Epidemiological models can provide the dynamic evolution of a pandemic but they are based on many assumptions and parameters that have to be adjusted over the time the pandemic lasts. However\, often the available data are not sufficient to identify the model parameters and hence infer the unobserved dynamics. We develop a general framework for building a trustworthy data-driven epidemiological model\, consisting of a workflow that integrates data acquisition and event timeline\, model development\, identifiability analysis\, sensitivity analysis\, model calibration\, model robustness analysis\, and projection with uncertainties in different scenarios.  In particular\, we apply this framework to propose a modified susceptible–exposed–infectious–recovered (SEIR) model\, including new compartments and model vaccination in order to project the transmission dynamics of COVID-19 in New York City (NYC). We find that we can uniquely estimate the model parameters and accurately project the daily new infection cases\, hospitalizations\, and deaths\, in agreement with the available data from NYC’s government’s website. In addition\, we employ the calibrated data-driven model to study the effects of vaccination and timing of reopening indoor dining in NYC.
URL:https://colleges.claremont.edu/ccms/event/prof-joan-ponce/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.0999157;-117.7142668
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230125T161500
DTEND;TZID=America/Los_Angeles:20230125T173000
DTSTAMP:20260427T154726
CREATED:20230122T175532Z
LAST-MODIFIED:20230123T053430Z
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SUMMARY:No-arbitrage Pricing in a Market for Position on a Multilane Freeway (Prof. Henry Schellhorn\, CGU)
DESCRIPTION:Title: No-arbitrage Pricing in a Market for Position on a Multilane Freeway \nSpeaker: Henry Schellhorn\, Department of Mathematics\, Claremont Graduate University \nAbstract:  We introduce a trading mechanism allowing cars to change position in a multilane congested freeway by doing peer-to-peer transactions. For the car initiating the operation\, or incoming car\, the goal can be to increase speed\, to have less speed variability\, to join a platoon\, or to join an exit lane that is slower but full. We focus in this paper on the maneuver where the incoming car changes lanes by asking an adjacent car on a busy target lane (to the left or right) to slow down\, but we also consider the case where the incoming car asks the car in front of it to change lanes\, so that the incoming car takes its position but stays on the same lane. In both cases\, the incoming car pays a transaction fee. We solve the microscopic problem of determining these transaction fees by (i) embedding the problem in a macroscopic model and (ii) calculating fair lane prices by the no arbitrage condition. This no-arbitrage condition states that no future trajectory will always be better than all others in terms of both speed and money exchanged to change lanes. The terms “always better” has to be understood in a probabilistic sense: we analyze a stochastic model\, in order to include uncertainty in both the speed model and the drivers’ decisions. We highlight the advantages of no-arbitrage theory over a traditional expected utility maximization approach. First\, no-arbitrage pricing does not require any individual data\, whether on the driver’s risk-aversion\, preference of speed over money or increased safety\, or final destination. Second\, the macroscopic model that we use considers endogenously the global impact of any individual priced transaction\, as opposed to local models that require extraneous assumptions on the road conditions after the transaction. We implemented a simple case of our priced lane change model. After simulating it extensively\, we implemented it in real-time\, with 2 cars trading position on a freeway using macroscopic speed information to determine the transaction fee. \n\n\n\n\n\nHenry Schellhorn is professor of mathematics at Claremont Graduate University’s Institute of Mathematics Sciences and academic director of the Financial Engineering Program at the Drucker School of Management. His research focuses in the areas of Monte Carlo simulation\, credit risk management\, interest rate models\, queuing theory\, and combinatorial auctions.
URL:https://colleges.claremont.edu/ccms/event/prof-henry-schellhorn-2/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.0999157;-117.7142668
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221130T161500
DTEND;TZID=America/Los_Angeles:20221130T173000
DTSTAMP:20260427T154726
CREATED:20220912T190237Z
LAST-MODIFIED:20220912T190237Z
UID:2914-1669824900-1669829400@colleges.claremont.edu
SUMMARY:Prof. Jack Wesley
DESCRIPTION:Speaker: Jack Wesley\, Department of Mathematics\, UC Davis
URL:https://colleges.claremont.edu/ccms/event/prof-jack-wesley/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221116T161500
DTEND;TZID=America/Los_Angeles:20221116T173000
DTSTAMP:20260427T154726
CREATED:20220830T231344Z
LAST-MODIFIED:20221104T225945Z
UID:2808-1668615300-1668619800@colleges.claremont.edu
SUMMARY:Prof. Kate Petersen
DESCRIPTION:Title: Decision Problems in Low-Dimensional Topology \nSpeaker: Kate Petersen\, Department of Mathematics and Statistics\, CSU\, University of Minnesota Duluth \nAbstract: Due to Perelman’s proof of the Geometrization conjecture every closed 3-manifold can be decomposed into geometric pieces. These pieces exhibit one of Thurston’s eight model geometries.  This gives rise to the natural question: Given a 3-manifold how (quickly) can you determine its geometry?  We will discuss this question\, including some recent advances.  This is joint work with Neil Hoffman. \n\n\n\n\n\n\n\n\nMy research interests are in number theory and topology. After completing my undergraduate degree at Oberlin College\, I earned my PhD in 2005 at the University of Texas at Austin under the direction of Alan Reid.  My PhD work was in arithmetic groups\, which bridge number theory and topology.  Following my PhD I had a postdoc at Queen’s University in Kingston Ontario where I worked in number theory with Ram Murty.  I spent a semester visiting the Fields Institute before joining Florida State as a tenure-track Assistant Professor.  I earned tenure there in 2015.  In 2021 I joined the faculty of University of Minnesota Duluth where I am now the head of the Mathematics and Statistics Department.
URL:https://colleges.claremont.edu/ccms/event/kate-petersen/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221109T161500
DTEND;TZID=America/Los_Angeles:20221109T173000
DTSTAMP:20260427T154726
CREATED:20220830T231225Z
LAST-MODIFIED:20221025T193152Z
UID:2807-1668010500-1668015000@colleges.claremont.edu
SUMMARY:Prof. Edouard Oudet
DESCRIPTION:Title: Shape Optimization: Old and New \nSpeaker: Edouard Oudet\,  LJK\, Université Grenoble Alpes \nAbstract: We first introduce what is shape Optimization and the most classical problems of the field like the isoperimetric problem\, the study of minimal surfaces\, the characterization of irrigation networks\, etc. In a second step we focus on a more recent question related to Lebesgue-Santalo diagrams.  We show how tools from discrete geometry contributed to approximate in a very precise and efficient way these diagrams. \n\n\n\n\n\nEdouard Oudet is Professor of Applied Mathematics at University Grenoble Alpes and a member of Laboratoire Jean Kuntzmann  since 2010. His research interests include calculus of variation\, shape optimization\, optimal transportation and spectral theory. He has supervised or co-supervised 8 PhD theses and has written 50 articles in peer-reviewed international journals (ARMA\, Numerische Mathematik\, SIMA\, SICON\, JMIV\, . . . ). Since October 2022 he is a senior member of the IUF “Institut Universitaire de France”.
URL:https://colleges.claremont.edu/ccms/event/edouard-oudet/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221102T161500
DTEND;TZID=America/Los_Angeles:20221102T173000
DTSTAMP:20260427T154726
CREATED:20220912T190050Z
LAST-MODIFIED:20221021T160045Z
UID:2912-1667405700-1667410200@colleges.claremont.edu
SUMMARY:Prof. Josiah Park
DESCRIPTION:Title: Packing lines\, minimizing energy\, and applications to communications \nSpeaker: Josiah Park\, Department of Mathematics\, Texas A&M University \nAbstract: Structured geometric point sets play important roles in coding theory\, mathematical biology\, computational chemistry\, wireless communications\, compressed sensing\, and ‘big data’ applications due to their often desirable statistical properties for measurement and transmission. Best packings of lines (known as Grassmannian packings) have desirable properties for Multiple-Input Multiple-Output (MIMO) wireless transmission and specific instances of these minimal coherence systems\, like equiangular tight frames have a number of interesting mathematical properties. I’ll describe in this talk some research which investigates numerical phenomena related to the point sets\, detailing several results on continuous ‘probabilistic’ energies. In addition I’ll talk about some experiments using parallelized computation and optimization methods like trust-region conjugate gradient to numerically generate good packings. Parts of the talk are represented by collaborations with D. Bilyk\, A. Glazyrin\, R. Matzke\, C. Saltijeral\, O. Vlasiuk\, and M. Zhong. \n\n\n\n\n\nJosiah Park\, Ph. D. is a Visiting Assistant Professor and NSF TRIPODS postdoctoral fellow at Texas A&M University working on the “Neural Network Approximation” project within the Center for Approximation and Mathematical Data Analytics. Josiah is currently a core member at UCLA for the IPAM program on computational microscopy. Previously\, he received his doctorate in mathematics at the Georgia Institute of Technology in 2020 under supervision of Professors Christopher Heil and Michael Lacey.
URL:https://colleges.claremont.edu/ccms/event/prof-josiah-park/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221026T161500
DTEND;TZID=America/Los_Angeles:20221026T173000
DTSTAMP:20260427T154726
CREATED:20220830T231139Z
LAST-MODIFIED:20220928T195647Z
UID:2806-1666800900-1666805400@colleges.claremont.edu
SUMMARY:Frequentist Model Averaging in the Generalized  Multinomial Logit Model  (Prof. Tonia Zeng)
DESCRIPTION:Title: Frequentist Model Averaging in the Generalized Multinomial Logit Model \nSpeaker: Tonia Zeng\, Applied Business Sciences and Economics\, University of La Verne \nAbstract: The generalized multinomial logit (GMNL) model accommodates scale heterogeneity to the random parameters logit (RPL) model. It has been often used to study people’s preferences and predict people’s decisions in many areas\, such as health economics\, marketing\, agricultural studies\, transportation research and public policy. However\, there are few works studying the efficiency of this model estimator and the corresponding estimation and prediction risks. In this paper\, we use a frequentist model averaging (FMA) estimator to reduce the estimation and prediction risks of the GMNL model estimator. We show that the asymptotic squared error risk of the FMA estimator dominates that of the GMNL model estimator. The accuracy of the predicted choices is also higher based on the FMA estimates compared to the results based on the GMNL estimates. In the empirical analyses\, using the FMA estimator improves the percentage of correct predicted choices by 10% compared to the results based on the GMNL estimates. This paper provides a more efficient alternative to the GMNL model to capture people’s preferences and predict people’s choices. \n\n\n\n\n\nTong (Tonia) Zeng is an economics professor\, specializing in econometrics at the University of La Verne. She is visiting in the Institute of Mathematical Sciences at Claremont Graduate University this semester. Her research interests include discrete choice models\, model averaging and machine learning.
URL:https://colleges.claremont.edu/ccms/event/tonia-zeng/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221012T161500
DTEND;TZID=America/Los_Angeles:20221012T173000
DTSTAMP:20260427T154726
CREATED:20220830T231051Z
LAST-MODIFIED:20220921T214729Z
UID:2805-1665591300-1665595800@colleges.claremont.edu
SUMMARY:Human Computers in Astronomy: Women Astronomers at Mount Wilson Observatory during the Early Twentieth Century (Prof. Eun-Joo Ahn)
DESCRIPTION:Title: Human Computers in Astronomy: Women Astronomers at Mount Wilson Observatory during the Early Twentieth Century \nSpeaker: Eun-Joo Ahn\, Department of History\, UC Santa Barbara \n\nAbstract: Mount Wilson Observatory was founded by astrophysicist George Ellery Hale in 1904 with funding from the Carnegie Institution of Washington. Since then\, it has become one of the most prominent astronomical observatories during the first half of the twentieth century\, whose astronomers contributed to understanding the characteristics of the sun and the structure of our universe. When considering astronomers and science at MWO in the early years\, we will likely think of Hale and his male colleagues who worked to build the large telescopes and the astronomical research they carried out. We tend to overlook the women astronomers at MWO and the contribution they made while we pay attention to the more prominent men astronomers. It is easy to lose sight of these women scientists as they left few written records\, their workspaces have been remodeled\, and little if any of the instruments they used to carry out the measurements remain today. As human computers\, their tasks were mostly restricted to measuring positions or spectral lines of photographic plates\, and they did not have the same opportunity to expand their work to new challenges and roles. By reconstructing their contribution to the scientific work at MWO\, we can better understand how astronomers at MWO carried out the scientific discoveries and achievements at MWO that made this place prominent. In this talk\, I narrate what it was like to be a woman scientist at MWO during its first decade. \n\n\n\n\n\nEun-Joo Ahn is a historian of science researching how astronomers in Southern California interacted with their natural and socio-economic environment during the early twentieth century. She is a PhD Candidate in the Department of History at the University of California Santa Barbara. Previously\, she received her PhD in Astronomy and Astrophysics from the University of Chicago and worked on particle astrophysics as a postdoctoral researcher at the University of Delaware and Fermi National Accelerator Laboratory.
URL:https://colleges.claremont.edu/ccms/event/eun-joo-ahn/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221005T161500
DTEND;TZID=America/Los_Angeles:20221005T173000
DTSTAMP:20260427T154726
CREATED:20220824T231222Z
LAST-MODIFIED:20220824T231806Z
UID:2789-1664986500-1664991000@colleges.claremont.edu
SUMMARY:How do mathematicians believe? (Prof. Brian P Katz)
DESCRIPTION:Title: How do mathematicians believe? \nSpeaker: Brian P Katz (BK)\, Department of Mathematics and Statistics\, CSU\, Long Beach \nAbstract: Love it or hate it\, many people believe that mathematics gives humans access to a kind of truth that is more absolute and universal than other disciplines. If this claim is true\, we must ask: what makes the origins and processes of mathematics special and how can our messy\, biological brains connect to the absolute? If the claim is false\, then what becomes of truth in mathematics? In this session\, we will discuss beliefs about truth and how they play out in the mathematics classroom\, trying to understand a little about identity\, authority\, and tertiary education. \n\nBrian P Katz (BK) is faculty in Mathematics Education at CSULB. BK is passionate about interactions between inquiry\, epistemology\, identity\, authority\, and justice as both a scholar and teacher\, especially in the context of preparing teachers to lead student-centered and rehumanizing classrooms of their own. BK is Associate and Communications Editor with PRIMUS\, a former Chair of IBL SIGMAA\, a current member of the executive committee of SIGMAA RUME\, an MAA textbook author\, co-Editor of the inclusion/exclusion blog\, co-Editor-in-Chief of the MAA Notes textbook series\, and an Associate Director of Project NExT. BK supports two of the best cats in the world and loves to sing.
URL:https://colleges.claremont.edu/ccms/event/how-do-mathematicians-believe-prof-brian-p-katz/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220928T161500
DTEND;TZID=America/Los_Angeles:20220928T173000
DTSTAMP:20260427T154726
CREATED:20220830T231008Z
LAST-MODIFIED:20220914T215728Z
UID:2804-1664381700-1664386200@colleges.claremont.edu
SUMMARY:Between Yes and No: making decisions under uncertainty (Prof. Ami Radunskaya)
DESCRIPTION:Title: Between Yes and No: making decisions under uncertainty. \nSpeaker: Ami Radunskaya\, Department of Mathematics and Statistics\, Pomona College \nAbstract: Often we attempt to answer a question with a “yes” or a “no” by developing predictive models (“Will the small remaining population of axolotls survive outside of their native wetlands?”) or by implementing binary classifiers (“Is this a cat or a dog?”). However\, the answers that are provided by our models are often given in terms of probabilities.  Even more confusing\, different models – equally good according to accuracy metrics – can produce conflicting answers.   \nIn this talk\, I will explore these issues and discuss their implications.  How do we interpret an answer that is neither “yes” nor “no”?   For example\, a PCR test for COVID yields a probability.  How does the choice of threshold affect the individual?  How does it affect policy decisions or the course of the disease? How can we disentangle the predictions given by competing models\, i.e. how can we deal with predictive multiplicity?   For example\, if two models disagree on whether or not someone is a loan risk\, which one should be trusted?  Which groups are most affected?  What new metrics can be used to compare models? \n  \n\nA California native\, Professor Radunskaya received her Ph.D. in Mathematics from Stanford University.  She has been a faculty member in the Math Department at Pomona College since 1994.   In her research\, she specializes in ergodic theory\, dynamical systems\, and applications to various “real-world” problems.  Some current research projects involve mathematical models of cancer immunotherapy\, developing strategies for targeted drug delivery to the brain\, and studying stochastic perturbations of dynamical systems.  \nProfessor Radunskaya believes strongly in the power of collaboration and that everyone can learn to enjoy mathematics; as President of the Association of Women in Mathematics\, she encouraged collaborative research\, international outreach\, and cooperation between all the mathematical societies. She is the President of the EDGE (Enhancing Diversity in Graduate Education) Foundation\, whose summer program won a “Mathematics Program that Makes a Difference” award from the American Mathematics Society in 2007\, and a Presidential Award for Excellence in Science\, Mathematics and Engineering Mentoring (PAESMEM) in 2017. \nProfessor Radunskaya was recently elected as a Fellow of the Association for Women in Mathematics and the American Mathematical Society\, and she is the recipient of several awards\, including a WIG teaching award in  2012 and the 2017 AAAS Mentor-of-the-year award. She was featured in the documentary “The Empowerment Project: ordinary women doing extraordinary things”\, as well as in the recent book by Talithia Williams:  “Power in  Numbers: the Rebel Women of Mathematics”.
URL:https://colleges.claremont.edu/ccms/event/ami-radunskaya/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220921T161500
DTEND;TZID=America/Los_Angeles:20220921T173000
DTSTAMP:20260427T154726
CREATED:20220830T230918Z
LAST-MODIFIED:20220914T215709Z
UID:2803-1663776900-1663781400@colleges.claremont.edu
SUMMARY:An introduction to algebraic statistics (Prof. Luis David Garcia Puente)
DESCRIPTION:Title: An introduction to algebraic statistics\n\nSpeaker: Luis David Garcia Puente\, Department of Mathematics and Computer Science\, Colorado College\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAbstract: Algebraic statistics is an interdisciplinary field that uses tools from computational algebra\, algebraic geometry\, and combinatorics to address problems in statistics and its applications. A guiding principle in this field is that many statistical models of interest are semialgebraic sets—a set of points defined by polynomial equalities and inequalities. Algebraic statistics is not only concerned with understanding the geometry and algebra of the underlying statistical model\, but also with applying this knowledge to improve the analysis of statistical procedures\, and to devise new methods for analyzing data.\nAlgebraic statistics is a broad field actively expanding from discrete statistical models\, contingency table analysis\, and experimental design to Gaussian models\, singular learning theory\, and applications to phylogenetics\, machine learning\, and biochemical reaction networks. In this talk\, I will introduce this field by discussing the foundational Diaconis-Sturmfels approach to contingency table analysis. This talk will be accessible to undergraduate students with some knowledge of linear algebra and basic statistics.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n  \nLuis David García Puente is a Professor of Mathematics and Computer Science at Colorado College.  He grew up in Mexico City and received his B.S. from Universidad Nacional Autónoma de México and his Ph.D. from Virginia Tech\, both in Mathematics. After postdoctoral appointments at the Mathematical Sciences Research Institute and Texas A&M University\, he joined Sam Houston State University. Luis is a Fellow of the American Mathematical Society for contributions to applied algebraic geometry\, including algebraic statistics and geometric modeling\, and for broadening participation in the mathematical sciences. He is a member of the SIAM Activity Group on Algebraic Geometry\, the Latinxs and Hispanics in the Mathematical Sciences Community\, and the Society for Advancement of Chicanos/Hispanics and Native Americans in Science. In Summer 2023\, he will be a PRiME Undergraduate Research Director.
URL:https://colleges.claremont.edu/ccms/event/prof-luis-david-garcia-puente/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220914T161500
DTEND;TZID=America/Los_Angeles:20220914T173000
DTSTAMP:20260427T154726
CREATED:20220830T232626Z
LAST-MODIFIED:20220912T190511Z
UID:2812-1663172100-1663176600@colleges.claremont.edu
SUMMARY:Continuity Versus Uniform Continuity (Prof. Gerald Beer)
DESCRIPTION:Title: Continuity Versus Uniform Continuity \nSpeaker: Gerald Beer\, Department of Mathematics\, California State University \nAbstract: In this talk we discuss the class of metric spaces – called the UC-spaces – whose members have this characteristic property:  each continuous function f on X  must be uniformly continuous. \n\nGerald Beer\, PhD UCLA 1971 won the faculty prize for teaching assistants at UCLA.  He was a full professor at California State University Los Angeles\, where he won the Presidents Distinguished Professor Award. He has around 140 papers in refereed journals plus two books: (1) Applied Calculus for Business and Economics; (2) Topologies on Closed and Closed Convex Sets.  He is on the editorial boards of The Journal of Convex Analysis and Set-Valued and Variational Analysis. In 1983-1984\, he was a Fulbright Professor associated with the Mathematical Consortium of Manila\, and in 1986\, he was a National Academy of Sciences exchange scholar at the Bulgarian Academy of Sciences.  He had visiting positions at the University of California\, Davis\, University of Minnesota\, University of Milan\, University of Salerno\, University of Naples II\, University of Limoges\, University of Montpellier II\, University of Perpignan\, University of Complutense Madrid\, Politecnica Valencia\, UMH Elche\, and Auckland Institute of Technology. A conference honoring Professor Beer was held in Varenna\, Lake Como\, Italy on his 65th birthday.
URL:https://colleges.claremont.edu/ccms/event/continuity-versus-uniform-continuity-prof-gerald-beer/
LOCATION:Humanities Auditorium\, Scripps College\, and Zoom\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
GEO:34.1035221214;-117.709766675
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220907T161500
DTEND;TZID=America/Los_Angeles:20220907T173000
DTSTAMP:20260427T154726
CREATED:20220828T210059Z
LAST-MODIFIED:20220906T155701Z
UID:2796-1662567300-1662571800@colleges.claremont.edu
SUMMARY:Poster Session Fall 2022
DESCRIPTION:CLAREMONT CENTER for the MATHEMATICAL SCIENCES\nFall 2022 Poster Session \n  \n\n\n\n\n\n\nTitle\nSpeaker(s)\n\n\nA New Basis for k-Local Class Functions\nHannah Friedman\n\n\nA Quantile Deffuant-Weisbuch Model of Opinion Dynamics\nJulianna Schalkwyk\, Hector Tierno\n\n\nAnalyzing Chromatin Immunoprecipitation (ChIP-Seq) Between-Sample Normalization Techniques through the Lens of their Biological Assumptions\nSara Colando\n\n\nCharacterizing Missing Traffic Stop Data\nSaatvik Kher\, Kyle Torres\n\n\nComputationally Modeling Transcranial Ultrasound Propagation for the Optimization of Drug Delivery to the Brain using Sonosensitive Liposomes\nRuth Gale\n\n\nDistributed Non-negative Matrix Factorization (DNMFX) with JAX\nAlicia Lu\n\n\nExploring the HCV\nOscar Scholin\, Graham Hirsch\n\n\nGeometric characteristics of symmetric numerical semigroups in the Kunz cone\nLily Natasha Wartman\n\n\nHorizontal dipole excitations of hydrodynamic electrons in graphene\nKausik Das\n\n\nKaczmarz for Time-Varying Noise and Corruption\nNestor Coria\, Jaime Pacheco\n\n\nMonodromy Groups of Belyi Lattes Maps\nZoë Batterman\, Eben Semere\n\n\nMonotonicity Failure in Ranked Choice Voting\nRylie Weaver\n\n\nOptimization of drug delivery in the brain\nStanley Su\n\n\nOptimization of the delivery of Ropinirole across the blood-brain-barrier\nStanley Su\n\n\nPartially Ordered Sets\nMehek Mehra\n\n\nQuantum Electrodynamics and Electron Scattering\nIshan Varma\n\n\nRates of Approximation by ReLU Shallow Neural Networks\nTong Mao\n\n\nSimulations and extensions of bounded confidence opinion dynamics model with zealots\nIan de Marcellus\n\n\nStochastic Models of Zoonotic Avian Influenza with Multiple Hosts\, Environmental Transmission\, and Migration in the Natural Reservoir\nKaia Smith\n\n\nSum and Product Game\nMariam Abu-Adas\n\n\nTensor Methods and Models for Medical Imaging\nNoah Limpert\, Toby Anderson
URL:https://colleges.claremont.edu/ccms/event/poster-session-fall-2022/
LOCATION:Margaret Fowler Garden\, Scripps College\, Claremont\, CA\, 91711
CATEGORIES:Colloquium,Special Event
GEO:34.103917;-117.709694
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220427T161500
DTEND;TZID=America/Los_Angeles:20220427T173000
DTSTAMP:20260427T154726
CREATED:20220401T032753Z
LAST-MODIFIED:20220406T231953Z
UID:2686-1651076100-1651080600@colleges.claremont.edu
SUMMARY:Contact topology and geometry in high dimensions (Prof. Bahar Acu)
DESCRIPTION:Title: Contact topology and geometry in high dimensions \nSpeaker: Bahar Acu\, Department of Mathematics\, Pitzer College \nAbstract: A very useful strategy in studying topological manifolds is to factor them into “smaller” pieces. An open book decomposition of an n-manifold (the open book) is a special map (fibration) that helps us study our manifold in terms of its (n-1)-dimensional submanifolds (i.e. fibers=the pages) and (n-2)-dimensional boundary of these submanifolds (the binding). Open books provide a natural framework for studying topological properties of certain geometric structures on smooth manifolds such as “contact structures”. Thanks to open books\, contact manifolds\, odd dimensional manifolds carrying these geometric structures\, can be studied from an entirely topological viewpoint. For example\, every contact 3-manifold can be presented as an open book whose pages are surfaces and binding is a knot/link. In this talk\, we will talk about higher-dimensional contact manifolds and provide a setting where we study these manifolds in terms of 3D open books. We present various results along with examples concerning geometric and topological aspects of these manifolds. \n\nDr. Bahar Acu (pronounced: Ah-Joo) is an Assistant Professor of Mathematics at Pitzer College since Spring 2022. Prior to joining Claremont Colleges\, Dr. Acu held positions at UCLA\, Northwestern\, ETH Zürich\, and IAS Princeton following a Ph.D. degree from the University of Southern California in 2017. Dr. Acu’s primary research interests are in the field of geometric topology\, more precisely contact and symplectic topology in high dimensions and their relations with low-dimensional topology. While doing so\, Dr. Acu actively thinks about ways in which the math community at large can improve and promote the presence and visibility of more first-gen\, womxn\, queer\, and many other historically underrepresented individuals in math in various mathematical events and projects. Dr. Acu continues to hope that more of the math colleagues join these efforts in their day-to-day navigation in math in any beneficial way they can.
URL:https://colleges.claremont.edu/ccms/event/contact-topology-and-geometry-in-high-dimensions-prof-bahar-acu/
LOCATION:Shanahan B460 (HMC) and Zoom – Hybrid
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220420T161500
DTEND;TZID=America/Los_Angeles:20220420T173000
DTSTAMP:20260427T154726
CREATED:20220403T231342Z
LAST-MODIFIED:20220403T231342Z
UID:2689-1650471300-1650475800@colleges.claremont.edu
SUMMARY:Linear independence\, counting\, and Hilbert's syzygy theorem (Prof. Youngsu Kim)
DESCRIPTION:Title: Linear independence\, counting\, and Hilbert’s syzygy theorem \nSpeaker: Youngsu Kim\, Department of Mathematics\, Cal State San Bernardino \nAbstract: Linear independence is an essential concept in mathematics and one of the most fundamental notions in linear algebra. \n\n\nLinear algebra studies the solutions of linear equations. Algebraic geometry studies the solutions of polynomial equations (of arbitrary degree). In this talk\, we explore how linear independence can help study algebraic geometry and Hilbert’s syzygy theorem. \n\n\n\nYoungsu Kim earned his Ph.D. from Purdue University. He had visiting positions at UC Riverside and the University of Arkansas. Currently\, he works at Cal State San Bernardino\, and his primary research interest is in commutative algebra.
URL:https://colleges.claremont.edu/ccms/event/linear-independence-counting-and-hilberts-syzygy-theorem-prof-youngsu-kim/
LOCATION:Shanahan B460 (HMC) and Zoom – Hybrid
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220413T161500
DTEND;TZID=America/Los_Angeles:20220413T173000
DTSTAMP:20260427T154726
CREATED:20220228T192814Z
LAST-MODIFIED:20220301T203530Z
UID:2643-1649866500-1649871000@colleges.claremont.edu
SUMMARY:Geometry of continued fractions (Prof. Oleg Karpenkov)
DESCRIPTION:Title: Geometry of continued fractions\n\nSpeaker:  Oleg Karpenkov\, Department of Mathematical Sciences\, University of Liverpool\n\nAbstract: In this talk we introduce a geometrical model of continued fractions and discuss its appearance in rather different research areas:\n— values of quadratic forms (Perron Identity for Markov spectrum)\n— the 2nd Kepler law on planetary motion\n— Global relation on singularities of toric varieties\n\n\n\nOleg Karpenkov is a mathematician at the University of Liverpool (UK)\, working in the general area of discrete geometry. Specifically\, his interests include geometry of numbers\, discrete and semi-discrete differential geometry and self-stressed configurations of graphs. He completed his Ph.D. at Moscow State University under the supervision of Vladimir Arnold in 2005. He held several postdoctoral positions in Paris (Fellowship of the Mairie de Paris)\, Leiden\, and Graz (Lise Meitner Fellowship) before arriving in Liverpool in 2012. In 2013 he published a book “Geometry of Continued Fractions” (its extended second edition will be available soon). His Erdos number is 3.
URL:https://colleges.claremont.edu/ccms/event/geometry-of-continued-fractions-prof-oleg-karpenkov/
LOCATION:Shanahan B460 (HMC) and Zoom – Hybrid
CATEGORIES:Colloquium
ORGANIZER;CN="Andrew Bernoff":MAILTO:ajb@hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220330T161500
DTEND;TZID=America/Los_Angeles:20220330T173000
DTSTAMP:20260427T154726
CREATED:20220311T141931Z
LAST-MODIFIED:20220328T160742Z
UID:2658-1648656900-1648661400@colleges.claremont.edu
SUMMARY:Voronoi Tessellations:  Optimal Quantization and Modeling Collective Behavior (Prof. Rustum Choksi)
DESCRIPTION:Title: Voronoi Tessellations: Optimal Quantization and Modeling Collective Behavior \nSpeaker: Prof. Rustum Choksi\, Department of Mathematics and Statistics\, McGill University \nAbstract:  Given a set of N distinct points (generators) in a domain (a bounded subset of Euclidean space or a compact Riemannian manifold)\, a Voronoi tessellation is a partition of the domain into N regions (Voronoi cells) with the following property: all points in the interior of the ith Voronoi cell are closer to the ith generating point than to any other generator.  Voronoi tessellations give rise to a wealth of analytic\, geometric\, and computational questions. They are also very useful in mathematical and computational modeling. \nThis talk will consist of three parts: \n\nWe begin by introducing the basic definitions and geometry of Voronoi tessellations\,  centroidal Voronoi tessellations (CVTs)\, and the notion of optimal quantization.\nWe will then address simple\, yet rich\, questions on optimal quantization on the 2D and 3D torus\, and on  the 2-sphere. We will address the geometric nature of the global minimizer (the optimal CVT)\, presenting a few conjectures and a short discussion on rigorous asymptotic results and their proofs.\nWe will then shift gears to address the use Voronoi tessellations in modeling collective behaviors.\n\nCollective behavior in biological systems\, in particular the contrast and connection between individual and collective behavior\, has fascinated researchers for decades. A well-studied paradigm entails the tendency of groups of individual agents to form flocks\, swarms\, herds\, schools\, etc. We will first review some well-known and widely used models for collective behavior.  We will then present a new dynamical model for generic crowds in which individual agents are aware of their local Voronoi environment — i.e.\, neighboring agents and domain boundary features –and may seek static target locations. Our model incorporates features common to many other active matter models like collision avoidance\, alignment among agents\, and homing toward targets. However\, it is novel in key respects: the model combines topological and metrical features in a natural manner based upon the local environment of the agent’s Voronoi diagram. With only two parameters\, it captures a wide range of collective behaviors. The results of many simulations will be shown. \n\nRustum Choksi received the PhD degree in mathematics from Brown University\, in 1994. He held post-doctoral positions with the Center for Nonlinear Analysis\, Carnegie Mellon University and the Courant Institute\, New York University. From 1997 to 2010\, he was a faculty member with the Department of Mathematics\, Simon Fraser University. In 2010\, he joined McGill University where he is currently a full professor with the Department of Mathematics and Statistics. His main research interests include interaction of the calculus of variations and partial differential equations with pattern formation.
URL:https://colleges.claremont.edu/ccms/event/voronoi-tessellations-optimal-quantization-and-modeling-collective-behavior-prof-rustum-choksi/
LOCATION:Zoom
CATEGORIES:Colloquium
ORGANIZER;CN="Andrew Bernoff":MAILTO:ajb@hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220323T161500
DTEND;TZID=America/Los_Angeles:20220323T173000
DTSTAMP:20260427T154726
CREATED:20220320T201004Z
LAST-MODIFIED:20220320T201104Z
UID:2667-1648052100-1648056600@colleges.claremont.edu
SUMMARY:The 6 Cs - Covid and the 5 Claremont Colleges (Prof. Maryann E. Hohn)
DESCRIPTION:Title: The 6 Cs – Covid and the 5 Claremont Colleges \nSpeaker: Maryann E. Hohn\, Department of Mathematics and Statistics\, Pomona College \nAbstract: The Claremont Colleges’ (5Cs) environment consists of students\, faculty\, and staff that congregate together in indoor spaces\, creating a higher risk for possible COVID-19 infection.  Additionally\, a majority of the students live on campus\, presenting a relatively closed campus environment that limits students’ interactions with their greater community. However\, the close knit quarters in which students live may contribute to a rise in infections that may ultimately reach other more vulnerable populations on the campuses such as faculty and staff. \n  \nIn this talk\, we present several models of COVID-19 spread at the 5Cs.  We start with an early model consisting of several interconnected modified SEIR differential equations to investigate the dynamics between different populations at the 5Cs and the influence of mitigation techniques such as students adhering to health protocols and contact tracing. With the addition of vaccines\, we show how the model changed\, how student researchers are contributing to our models\, and how a few students created their own.\n \n\nDr. Maryann Hohn is a Visiting Assistant Professor of Mathematics and Statistics at Pomona College.  Her research interests lie in mathematical modeling and data analysis to solve societal problems.  She utilizes a variety of mathematical tools such as stochastic processes\, PDEs\, numerical analysis\, and graph theory.  She also actively supports groups like AWM that support students in underrepresented groups\, mentors both undergraduate and graduate students\, and advises undergraduate researchers.
URL:https://colleges.claremont.edu/ccms/event/the-6-cs-covid-and-the-5-claremont-colleges-prof-maryann-e-hohn/
LOCATION:Shanahan B460 (HMC) and Zoom – Hybrid
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220309T160000
DTEND;TZID=America/Los_Angeles:20220309T174500
DTSTAMP:20260427T154726
CREATED:20220307T083704Z
LAST-MODIFIED:20220307T083802Z
UID:2654-1646841600-1646847900@colleges.claremont.edu
SUMMARY:CCMS Field Committee Meeting
DESCRIPTION:The Field Committee Meeting is our chance to socialize with our colleagues and coordinate our course offerings for the coming academic year (2022-2023). Please come to discuss course offerings and other synergistic items. Refreshments in the Shanahan sunken courtyard at HMC starting at 4:00\, meeting in Shanahan B460 at 4:20. \nWe will be back in person for this meeting. A Zoom link will also be sent out\, for those unable to attend physically.
URL:https://colleges.claremont.edu/ccms/event/ccms-field-committee-meeting-2/
LOCATION:Shanahan B460\, Harvey Mudd College\, 301 Platt Blvd.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium,Special Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220302T161500
DTEND;TZID=America/Los_Angeles:20220302T173000
DTSTAMP:20260427T154726
CREATED:20220221T184448Z
LAST-MODIFIED:20220221T202722Z
UID:2631-1646237700-1646242200@colleges.claremont.edu
SUMMARY:On sparse geometry of numbers (Prof. Lenny Fukshansky)
DESCRIPTION:Title: On sparse geometry of numbers\n\nSpeaker: Prof. Lenny Fukshansky\, Department of Mathematics\, Claremont McKenna College\n\n\nAbstract: Geometry of Numbers is an area of mathematics pioneered by Hermann Minkowski at the end of the 19th century. He achieved stunning success introducing a novel geometric framework into the study of algebraic numbers\, prompting mathematicians of later generations to compare his work to “the story of Saul\, who set out to look for his father’s asses and discovered a Kingdom” (J. V. Armitage). In this talk\, we will look at some contemporary variations of Minkowski’s classical results that will take us on a journey from linear algebra and convex analysis to algebraic number theory and arithmetic geometry. This is joint work with P. Guerzhoy and S. Kuehnlein. \n\n\nLenny Fukshansky is a Professor of Mathematics at Claremont McKenna College. His work is at the intersection of number theory\, discrete geometry and geometric combinatorics. He is especially interested in lattices\, quadratic forms\, polynomials\, height functions and Diophantine problems. When not doing math\, Lenny loves biking in the mountains and drinking wine\, although tries not to do it simultaneously.
URL:https://colleges.claremont.edu/ccms/event/on-sparse-geometry-of-numbers/
LOCATION:Shanahan B460 (HMC) and Zoom – Hybrid
CATEGORIES:Colloquium
ORGANIZER;CN="Andrew Bernoff":MAILTO:ajb@hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220223T161500
DTEND;TZID=America/Los_Angeles:20220223T173000
DTSTAMP:20260427T154726
CREATED:20220216T183109Z
LAST-MODIFIED:20220217T003329Z
UID:2626-1645632900-1645637400@colleges.claremont.edu
SUMMARY:Modeling  Zoonotic Infectious Diseases from Wildlife to Humans (Prof. Linda J. S. Allen)
DESCRIPTION:Title: Modeling  Zoonotic Infectious Diseases from Wildlife to Humans \nSpeaker: Prof. Linda J. S. Allen\, P. W. Horn Distinguished Professor Emeritus Texas Tech University \nAbstract: Zoonotic infectious diseases are diseases transmitted from animals to humans. It is estimated that over 60% of human infectious diseases are zoonotic. The Centers for Disease Control and Prevention has identified eight priority zoonoses in the US. Three of the priority zoonoses are avian influenza\, Lyme disease\, and emerging coronaviruses. Spillover of infections from animals to humans depends on a complex pathway from the natural wildlife reservoir.  The natural reservoir for avian influenza virus is wild birds but it is spread to humans from infected chickens. The natural reservoir for the bacterial pathogen causing Lyme disease is mice but it is transmitted to humans through the bite of an infected tick vector.    In this presentation\, we discuss a few of the modeling efforts to better understand the spread of infection in the natural reservoir and the spillover to humans as well as the impacts of demographic and environmental variability on timing of spillover.  \n___________________________________________________________________________________________________ \nLinda J. S. Allen received her PhD in Mathematics from University of Tennessee and was a Professor of Mathematics at Texas Tech University until 2019.  She is currently an Adjunct  Graduate Faculty at Texas Tech University. Her research interests are in mathematical ecology\, epidemiology\, and immunology.\nhttps://www.math.ttu.edu/~lallen/\nhttps://www.depts.ttu.edu/provost/scholars/lindaallen.php\n\nResearch Experiences for Undergraduates at Texas Tech University “Mathematical\, Statistical\, and Computational Methods for Problems in the Life Sciences”\n June 6-July 20\, 2022\n\nREU Applications Due: March 6\, 2022:\nhttps://www.math.ttu.edu/undergraduate/reu2022/
URL:https://colleges.claremont.edu/ccms/event/modeling-zoonotic-infectious-diseases-from-wildlife-to-humans-prof-linda-j-s-allen/
LOCATION:Zoom meeting\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Andrew Bernoff":MAILTO:ajb@hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220216T161500
DTEND;TZID=America/Los_Angeles:20220216T173000
DTSTAMP:20260427T154726
CREATED:20220128T164956Z
LAST-MODIFIED:20220214T180454Z
UID:2577-1645028100-1645032600@colleges.claremont.edu
SUMMARY:Solving the Race in Backgammon (Prof. Arthur Benjamin)
DESCRIPTION:Title: Solving the Race in Backgammon\n \nSpeaker: Prof. Arthur Benjamin\nSmallwood Family Professor of Mathematics\nHarvey Mudd College\n \nAbstract: Backgammon is perhaps the oldest game that is still played today. It is a game that combines luck with skill\, where two players take turns rolling dice and decide how to move their checkers in the best possible way. It is the ultimate math game\, where players who possess a little bit of mathematical knowledge can have a big advantage over their opponents.  Players also have the opportunity to double the stakes of a game using something called the doubling cube\, which—when used optimally—leads to players winning more in the long run. Optimal use of the doubling cube relies on a player’s ability to estimate their winning chances at any stage of the game.\n\nWhen played to completion\, every game of backgammon eventually becomes a race\, where each player attempts to remove all of their checkers before their opponent does. The goal of our research is to be able to determine the optimal doubling cube action for any racing position\, and approximate the game winning chances for both sides. By calculating the Effective Pip Count for both players and identifying the positions’ Variance Types\, we arrive at a reasonably simple method for achieving this which is demonstrably superior to other popular methods.\n\n\n\n\nArthur Benjamin\, PhD\, Smallwood Family Professor of Mathematics\, is recognized nationally for his ability to perform rapid mental calculations. In 2020 he won the inaugural American Backgammon Tour Online (ABTO) with the best overall performance in a series of 17 national tournaments.  He has published several books on how to make math both fun and easy.  He is also a professional mathemagician and frequently performs at the Magic Castle in Hollywood and nationwide.
URL:https://colleges.claremont.edu/ccms/event/solving-the-race-in-backgammon-prof-arthur-benjamin/
LOCATION:Zoom meeting\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Andrew Bernoff":MAILTO:ajb@hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220209T161500
DTEND;TZID=America/Los_Angeles:20220209T173000
DTSTAMP:20260427T154726
CREATED:20220131T170105Z
LAST-MODIFIED:20220131T170634Z
UID:2588-1644423300-1644427800@colleges.claremont.edu
SUMMARY:Modeling the waning and boosting of immunity (Prof. Lauren Childs)
DESCRIPTION:Title: Modeling the waning and boosting of immunity\n\n\nSpeaker: Dr. Lauren Childs\nAssistant Professor and the Cliff and Agnes Lilly Faculty Fellow\nVirgina Tech\n\n \nAbstract: Infectious disease often leads to significant loss of life and burden on society. Understanding disease dynamics is essential to the development and implementation of earlier and more effective interventions. Traditionally\, perfect\, long-lasting protection against disease is assumed to be acquired\, but this need not always be the case. Immunity following natural infection (or immunization) may wane\, increasing susceptibility with time since exposure. In this talk\, we begin by examining a classic model of waning and boosting immunity with a focus on the bifurcation structure and how it changes as reinfection is considered. Then\, we discuss an extension of this framework with an age- and immune status-dependent model of disease transmission. In this model\, susceptibility\, infectiousness\, and symptom severity all vary with immune status\, while age affects contacts and vaccination.  We examine applications of this model to two diseases: pertussis\, commonly known as whooping cough\, and COVID-19. For pertussis\, we examine age-specific incidence and prevalence and find vaccination leads to a resurgence of immunity-modified pertussis in older children\, as observed with effective vaccination programs. For COVID-19\, we examine the role of waning and boosting immunity to estimate seroprevalence in Canada and to evaluate vaccination strategies. We find a large fraction of the Canadian population with some immunity following infection or vaccination\, but that the quality and longevity of this immunity decreases with time. Using contact and demographic data from specific locations coupled with disease-specific parameterization\, our model has the potential to assist in the development and optimization of vaccination schedules. This is important to mitigate resurgence of immunity-modified disease due to natural boosting.\n\n\nDr. Lauren Childs is an Assistant Professor in the Department of Mathematics and the Cliff and Agnes Lilly Faculty Fellow in the College of Science at Virginia Tech. Her research focuses on developing and analyzing mathematical and computational models for a better understanding of the dynamics of infectious diseases\, in particular vector-borne diseases such as malaria. Her research emphasizes the interactions within a host organism\, such as between an invading pathogen and the immune response\, and the impacts of such interactions on transmission between individuals in the population.
URL:https://colleges.claremont.edu/ccms/event/modeling-the-waning-and-boosting-of-immunity-prof-lauren-childs/
LOCATION:Zoom
CATEGORIES:Colloquium
ORGANIZER;CN="Andrew Bernoff":MAILTO:ajb@hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220202T161500
DTEND;TZID=America/Los_Angeles:20220202T173000
DTSTAMP:20260427T154726
CREATED:20220128T183638Z
LAST-MODIFIED:20220131T193506Z
UID:2581-1643818500-1643823000@colleges.claremont.edu
SUMMARY:Exploiting metric structure for more accurate classification (Prof. Mike Izbicki)
DESCRIPTION:Title: Exploiting metric structure for more accurate classification \nSpeaker: Mike Izbicki\, Department of Mathematical Sciences\, Claremont McKenna College \nAbstract: Classification problems often have many semantically similar classes.  For example\, the famous ImageNet dataset contains classes for 80 different dog breeds\, 40 different bird species\, and 25 types of vehicles.  This semantic structure can be formalized using a metric space\, with semantic similarity of classes encoded by the distance function.  In this talk\, I’ll describe the “tree loss”\, which is the first technique with provable performance guarantees for exploiting this metric structure.  I’ll also show that the tree loss has better empirical performance than competing algorithms on image\, text\, and vector data. \n\nMike studies machine learning theory\, focusing on applications to natural language and social media.  He has been at CMC for 3 years now\, where he teaches computer and data science classes.  Prior to his academic career\, Mike spent 7 years in the US Navy.  Highlights include converting >10g of Uranium into pure energy as a nuclear submarine officer\, and doing [redacted] for the NSA.  After leaving the navy\, Mike went to North Korea to teach computer science as part of an academic exchange program designed to improve relations between the US and North Korea.  He earned his phd from UC Riverside.
URL:https://colleges.claremont.edu/ccms/event/exploiting-metric-structure-for-more-accurate-classification-prof-mike-izbicki/
LOCATION:Zoom meeting\, United States
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220126T161500
DTEND;TZID=America/Los_Angeles:20220126T173000
DTSTAMP:20260427T154726
CREATED:20220121T013826Z
LAST-MODIFIED:20220121T212036Z
UID:2550-1643213700-1643218200@colleges.claremont.edu
SUMMARY:Using Stitching for faster sampling (Prof. Mark Huber)
DESCRIPTION:Title: Using Stitching for faster sampling \nSpeaker: Mark Huber\, Department of Mathematics\, Claremont McKenna College \nAbstract: Point processes are used to model location data\, such as the locations of trees in a forest\, or cities in a plain.  Repulsive point processes modify the basic model in order to obtain points that are farther apart from each other than would be expected if they were placed uniformly at random.  In order to understand the behavior of these models\, Monte Carlo methods are used\, which draw samples from the probabilistic model.  In this talk\, I’ll show how to draw from a particular example of a repulsive point process called the Strauss process for parameters that were never possible before.  The method is called stitching\, and is a type of divide-and-conquer algorithm that is surprisingly effective for these types of problems. \n\nHuber got his start in data science (before it was called that) at HMC (’94).  He then headed to Cornell and obtained his Ph.D. from the Operations Research and Industrial Engineering department.  After a postdoc at Stanford and a position at Duke\, he returned to the West Coast and is now the Fletcher Jones Foundation Professor of Mathematics and Statistics and George R. Roberts Fellow\, and the Program Director of Data Science and Computer Science at Claremont McKenna.  His third book\, “Probability Adventures”\, is now available.
URL:https://colleges.claremont.edu/ccms/event/using-stitching-for-faster-sampling-prof-mark-huber/
LOCATION:CA
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211208T163000
DTEND;TZID=America/Los_Angeles:20211208T173000
DTSTAMP:20260427T154726
CREATED:20211104T163615Z
LAST-MODIFIED:20211110T164207Z
UID:2462-1638981000-1638984600@colleges.claremont.edu
SUMMARY:Where do Putnam problems come from? (Prof. Andrew Bernoff)
DESCRIPTION:Title: Where do Putnam problems come from? \nSpeaker: Andrew Bernoff\, Department of Mathematics\, Harvey Mudd College \nAbstract: The William Lowell Putnam Exam is the preeminent mathematics competition for undergraduate college students in the United States and Canada. I recently finished a three year stint on the competition’s problem committee. This talk is a personal reflection on where Putnam problems come from. I’ll discuss three problems which can loosely be described as: \n\na mathematician’s viewpoint on axe throwing\,\na model for how chickens establish a pecking order inspired by a high school math competition and a subsequent tweet by Jordan Ellenberg\, and\na covering problem that arose from a generalization of several previous Putnam problems viewed through the lens of a mathematician obsessed with the Fourier transform.\n\nI’ll close with some observations about best practices and pitfalls to avoid when constructing an exam whether it be for a class or a competition. \n\nAndrew Bernoff is a Professor of Mathematics at Harvey Mudd College. While his research concentrates on using dynamical systems methods to understand experiments and natural phenomena\, he has a longstanding interest in recreational mathematics and problem solving. As an undergraduate at MIT he ran the first Integration Bee\, a tradition that has now continued for over four decades. More recently he just finished a three year stint on the William Lowell Putnam Exam’s problem committee.
URL:https://colleges.claremont.edu/ccms/event/where-do-putnam-problems-come-from-prof-andrew-bernoff/
LOCATION:CA
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211201T163000
DTEND;TZID=America/Los_Angeles:20211201T180000
DTSTAMP:20260427T154726
CREATED:20211118T173248Z
LAST-MODIFIED:20211119T180218Z
UID:2487-1638376200-1638381600@colleges.claremont.edu
SUMMARY:A tribute to Professor Ellis Cumberbatch (1934-2021)
DESCRIPTION:Title: A tribute to Professor Ellis Cumberbatch (1934-2021) \nAbstract: The math colloquium on December 1st will be devoted to remembrances of our beloved CGU colleague Professor Ellis Cumberbatch\, a pillar of the Claremont mathematics community\, who passed away in September. Three brief talks by his friends and collaborators\, Professor John Ockendon (University of Oxford)\, Dr. Henok Abebe (Sandia National Labs)\, and Professor Asuman Aksoy (Claremont McKenna College) will be followed by informal reminiscences by any of the attendees who wish to share their stories involving Ellis. You are welcome to have your glass of wine\, beer\, or other drink so we can have a virtual toast in his memory. This zoom session will be recorded so it can be shared with those who wish to watch it later. \n \n \nCGU’s remembrance of Prof. Cumberbatch can be found here.
URL:https://colleges.claremont.edu/ccms/event/a-tribute-to-professor-ellis-cumberbatch-1934-2021/
LOCATION:Zoom
CATEGORIES:Colloquium
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END:VCALENDAR