BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Claremont Center for the Mathematical Sciences - ECPv6.15.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Claremont Center for the Mathematical Sciences
X-ORIGINAL-URL:https://colleges.claremont.edu/ccms
X-WR-CALDESC:Events for Claremont Center for the Mathematical Sciences
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20200308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20201101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20210314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20211107T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20220313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20221106T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20230312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20231105T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220126T161500
DTEND;TZID=America/Los_Angeles:20220126T173000
DTSTAMP:20260429T030947
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/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211208T163000
DTEND;TZID=America/Los_Angeles:20211208T173000
DTSTAMP:20260429T030947
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/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211201T163000
DTEND;TZID=America/Los_Angeles:20211201T180000
DTSTAMP:20260429T030947
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211117T163000
DTEND;TZID=America/Los_Angeles:20211117T174500
DTSTAMP:20260429T030947
CREATED:20211103T151322Z
LAST-MODIFIED:20211109T213529Z
UID:2457-1637166600-1637171100@colleges.claremont.edu
SUMMARY:Collective Behavior in Locust Swarms from Data to Differential Equations (Prof. Jasper Weinburd)
DESCRIPTION:Title: Collective Behavior in Locust Swarms from Data to Differential Equations\n  \nProf. Jasper Weinburd\nDepartment of Mathematics\nHarvey Mudd College\n\n  \n\nAbstract: Locusts are devastating pests that infest and destroy crops. Locusts forage and migrate in large swarms which exhibit distinctive shapes that improve efficiency on the group level\, a phenomenon known as collective behavior. One of the difficulties in understanding and preventing these collective behaviors has been a lack of biological data for individual interactions between locusts.  In this talk\, I’ll first describe mathematical models for these phenomena on both the collective and individual levels. I’ll then discuss a collaboration with students at Harvey Mudd College using field data derived from video footage of locust swarms. We digitized nearly 20\,000 locust trajectories and revealed individual behaviors that depend on a locust’s motion and the relative position of its nearby neighbors. Finally\, I will illustrate the challenges and potential benefits of incorporating these field observations into our models of locust swarms.\n\n\n\n\n\nProf. Jasper Weinburd is an NSF Postdoctoral Fellow at Harvey Mudd College. He received his PhD from the University of Minnesota. In his research he uses dynamical systems\, differential equations\, and data science to model natural phenomena of self-organization. He loves hiking in the San Gabriel Mountains with his dog\, but he still hasn’t climbed Mt. Baldy.
URL:https://colleges.claremont.edu/ccms/event/collective-behavior-in-locust-swarms-using-agent-based-and-continuous-models-prof-jasper-weinburd/
LOCATION:Zoom
CATEGORIES:Colloquium
ORGANIZER;CN="Andrew Bernoff":MAILTO:ajb@hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211110T163000
DTEND;TZID=America/Los_Angeles:20211110T174500
DTSTAMP:20260429T030947
CREATED:20210926T203309Z
LAST-MODIFIED:20210926T224934Z
UID:2391-1636561800-1636566300@colleges.claremont.edu
SUMMARY:Projections on Banach spaces and a lifting property of operators (Prof. Botelho)
DESCRIPTION:Title: Projections on Banach spaces and a lifting property of operators \nProf. Maria Fernanda Botelho\nDepartment of Mathematical Sciences\nThe University Of Memphis \nAbstract: In this talk I will present properties of contractive projections and explain their role in the existence of norm preserving lifts of operators. A pair of Banach spaces (X\, J)\, with J a closed subspace of X\, has the quotient lifting property (QLP) iff for every space Y and S ∈ L(Y\, X/J)\, there is Ŝ  ∈ L(Y\, X)such that S = π ◦ Ŝ\, where π denotes the quotient map from X onto X/J. This property was motivated by Lindenstrauss and Tzafriri lifting property for Banach spaces. \nA pair of Banach spaces (X\,J) has the QLP iff J is the kernel of a contractive projection on X. Several illustrative examples will be discussed. \n\n\n\n  \nBio-Sketch for Fernanda Botelho: \nI am a full professor in the Department of Mathematical Sciences at the University of Memphis. I earned a Doctor of Philosophy degree in Mathematics from the University of California at Berkeley and I did my undergraduate studies at the Universidade do Porto\, Portugal.  \nMy main research interest is in Operator Theory and Functional Analysis. I have authored and co-authored more than 80 research articles. I was a Donavant Professor in 2013-2016.  I have been the coordinator for the Mathematical Sciences Graduate Programs since 2015. \nI participated and organized several conferences\, funded by the National Sciences Foundation and in collaboration with the Association for Women in Mathematics. I have served in programs geared to high school teachers and the professional training  of graduate assistants. 
URL:https://colleges.claremont.edu/ccms/event/projections-on-banach-spaces-and-a-lifting-property-of-operators-prof-botelho/
LOCATION:Zoom
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211027T163000
DTEND;TZID=America/Los_Angeles:20211027T174500
DTSTAMP:20260429T030947
CREATED:20211015T170746Z
LAST-MODIFIED:20211015T171056Z
UID:2439-1635352200-1635356700@colleges.claremont.edu
SUMMARY:Clouds and Climate (Prof. Tapio Schneider)
DESCRIPTION:Title: Clouds and Climate \nProf. Tapio Schneider\nTheodore Y. Wu Professor of Environmental Science and Engineering\nCalifornia Institute of Technology \nAbstract: Clouds are an essential regulator of climate. They cool Earth on average by 5 degrees centigrade. Yet despite their importance\, the response of clouds to climate change is very uncertain. This is especially true for the low clouds that cover vast areas of tropical oceans. Their primary effect is to cool Earth by reflecting sunlight back to space. I discuss the physics of these clouds\, how their cooling effect may have been very different in past greenhouse climates\, and how they may be affected by rising greenhouse gas concentrations. To predict our climate future more accurately\, breakthroughs in the modeling of clouds and in the accuracy of climate predictions are needed. I will discuss how they may be achieved\, thanks to advances in computing and Earth observations from space and our ability to fuse models with massive amounts of data. \nProf. Tapio Schneider is the Theodore Y. Wu Professor of Environmental Science and Engineering at Caltech and a Senior Research Scientist at JPL. His research focuses on how the climate of Earth and other planets comes about and may change\, for example\, by changes in atmospheric circulation or cloud cover.
URL:https://colleges.claremont.edu/ccms/event/clouds-and-climate-prof-tapio-schneider/
LOCATION:Zoom
CATEGORIES:Colloquium
ORGANIZER;CN="Andrew Bernoff":MAILTO:ajb@hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211020T163000
DTEND;TZID=America/Los_Angeles:20211020T174500
DTSTAMP:20260429T030947
CREATED:20211013T194106Z
LAST-MODIFIED:20211015T150652Z
UID:2433-1634747400-1634751900@colleges.claremont.edu
SUMMARY:Panel on Paths in Mathematics After Undergrad
DESCRIPTION:Panelists: Tatiana Bradley\, Michelle Goodwin\, Isys Johnson\, John Lentfer\, and Matthew vonAllmen \nWe will have a panel discussion with graduates from the Claremont Consortium who have taken different pathways after graduation. After introductions\, there will be time for open questions from the audience. \nAfterward\, breakout rooms will be open for a casual discussion with the panelists and more participants.\nIncluding a breakout room on the “4+1” Master’s Program at CGU\, with current and past students. \nPanelist Bios: \nTatiana Bradley is a Software Engineer at Google in New York City. She received a bachelor’s degree in Math at Scripps College\, and a PhD in Computer Science (specializing in cryptography) at UC Irvine. At Google\, she works on protecting user data from insider risk. \nMichelle Goodwin is an Associate Vice President at Barclays Investment Bank in San Francisco. She received a bachelor’s degree in Pure Mathematics from Claremont McKenna College in 2016. For Barclays\, she sells institutional investors (e.g. pension funds\, insurance companies\, and hedge funds) securitized products. \nIsys Johnson is a graduate of Pomona College where she double majored in Computer Science and Mathematics. Isys is currently pursuing a PhD in Computer Science at the State University of New York at Buffalo. She is interested in structured linear algebra with applications in machine learning and works as a research assistant for Dr. Atri Rudra. \nJohn Lentfer graduated from Harvey Mudd College in 2021\, where he majored in mathematics. John is currently a first-year mathematics PhD student at UC Berkeley. He is interested in combinatorics and he is also exploring some related areas as he decides what topic to focus on. \nMatthew vonAllmen is a graduate of Pitzer College. He majored in CS-Math through Harvey Mudd College and Mathematical Economics at his home campus. Currently\, he’s pursuing a computer science PhD at Northwestern University\, where his research focuses on interdisciplinary CS-Econ questions of mechanism design and collective prediction.
URL:https://colleges.claremont.edu/ccms/event/panel-on-paths-in-mathematics-after-undergrad/
LOCATION:Zoom
CATEGORIES:Colloquium
END:VEVENT
END:VCALENDAR