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-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 BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20240310T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20241103T090000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20230417T161500 DTEND;TZID=America/Los_Angeles:20230417T171500 DTSTAMP:20260418T111738 CREATED:20221207T193543Z LAST-MODIFIED:20230816T023354Z UID:3015-1681748100-1681751700@colleges.claremont.edu SUMMARY:Applied Math Seminar: Emily de Jong (Caltech) DESCRIPTION:Title: Modeling size distributions and collisions in cloud microphysics \nAbstract:\nFeedbacks between a warming atmosphere\, emission of aerosols\, and clouds and precipitation are one of the most difficult aspects for climate models to accurately capture. While these models operate at resolutions of tens or hundreds of kilometers\, many of the physics that determine how and where clouds form or precipitate function at the micron droplet scale. This separation of scales means that most of these “microphysics” must be modeled with only a few approximate quantities and physical equations. These simplifications lead to large uncertainties about the future climate\, such as the sensitivity of global warming to human-emitted aerosols. \nThis talk presents two promising techniques for mathematically representing droplet size distributions and the microphysics that govern how droplets within the distribution evolve. The first method attempts to span a gap in complexity between a simple method of moments and expensive “bin” or spectral representations by collocating smooth basis functions over the droplet size domain. With intelligently selected basis functions\, this approach can represent the process of cloud droplets coalescing to form rain with bin-like accuracy\, but with a degree of complexity that is attainable for global simulations. Next\, we present a high-complexity high-fidelity Lagrangian approach known as the superdroplet method. This approach shows promise as a research tool to verify and train future microphysics models\, but it is currently incomplete in its purview of droplet physics. We describe a probabilistic approach to representing collisional breakup\, an often-overlooked process that can impact precipitation rates\, cloud lifetime\, and aerosol processing. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-emily-de-jong-caltech/ LOCATION:Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20230410T161500 DTEND;TZID=America/Los_Angeles:20230410T171500 DTSTAMP:20260418T111738 CREATED:20230131T010146Z LAST-MODIFIED:20230816T023147Z UID:3058-1681143300-1681146900@colleges.claremont.edu SUMMARY:Applied Math Seminar: Johannes Brust (UCSD) DESCRIPTION:Title: PLSS: A Projected Linear Systems Solver (joint work with Michael Saunders) \nAbstract:\nIteratively solving linear systems has proven to be useful for many large applications. Projection methods use sketching matrices (possibly randomized) to generate a sequence of small projected subproblems\, but even the smaller systems can be costly. We develop a method in which one column is added to the sketching matrix each iteration. By choosing the sequence of all previous residuals for a sketch\, we derive an iterative process with orthogonal residuals that leads to a simple recursive update to approximate the solution. In exact arithmetic\, our method (PLSS) converges in at most \(n\) iterations\, where \(n\) is the column rank of matrix \(A\). In experiments on large sparse systems\, PLSS compares favorably with deterministic and state-of-the-art randomized methods. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-johannes-brust-ucsd/ LOCATION:Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20230403T161500 DTEND;TZID=America/Los_Angeles:20230403T171500 DTSTAMP:20260418T111738 CREATED:20221020T204917Z LAST-MODIFIED:20230320T152627Z UID:2965-1680538500-1680542100@colleges.claremont.edu SUMMARY:Applied Math Seminar: Ivy Xiong (USC) DESCRIPTION:Title: A common pathway to cancer: oncogenic mutations abolish p53 oscillations. \nAbstract:\nThe tumor suppressor p53 oscillates in response to DNA double-strand breaks\, a behavior that has been suggested to be essential to its anti-cancer function. Nearly all human cancers have genetic alterations in the p53 pathway; a number of these alterations have been shown to be oncogenic by experiment. These alterations include somatic mutations and copy number variations as well as germline polymorphisms. Intriguingly\, they exhibit a mixed pattern of interactions in tumors\, such as co-occurrence\, mutual exclusivity\, and paradoxically\, mutual antagonism. Using a differential equation model of p53-Mdm2 dynamics\, I employ Hopf bifurcation analysis to show that these alterations have a common mode of action\, to abolish the oscillatory competence of p53\, thereby impairing its tumor suppressive function. In this analysis\, diverse genetic alterations\, widely associated with human cancers clinically\, have a unified mechanistic explanation of their role in oncogenesis. In this talk\, I will also discuss the role of physiological oscillations in health and disease broadly. \nReferences: \nXiong\, L.\, and Garfinkel\, A. (2022). A common pathway to cancer: Oncogenic mutations abolish p53 oscillations. Progress in Biophysics and Molecular Biology. DOI: 10.1016/j.pbiomolbio.2022.06.002 \nXiong\, L.\, and Garfinkel\, A. (2023). Are physiological oscillations “physiological”? arXiv. DOI: 10.48550/arXiv.2301.08996 URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-ivy-xiong-usc/ LOCATION:Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20230327T161500 DTEND;TZID=America/Los_Angeles:20230327T171500 DTSTAMP:20260418T111738 CREATED:20221026T182923Z LAST-MODIFIED:20230816T040538Z UID:2971-1679933700-1679937300@colleges.claremont.edu SUMMARY:Applied Math Seminar: Linh Huynh (University of Utah) DESCRIPTION:Title:Inferring birth and death rates from population size time series data \nAbstract:\nModels of population dynamics are usually formulated and analyzed with net growth rates. However\, separately identifying birth and death rates is significant in various biological applications such as disambiguating (1) exploitation vs. interference competition in ecology\, (2) bacteriostatic vs. bactericidal antibiotics in clinical treatments\, and (3) enhanced-fecundity vs. reduced-mortality mechanisms in drug resistance. In each of these three contexts\, the mechanisms are different\, but could be manifest in the same mean-field population size. \nIn this talk\, I will discuss a nonparametric method that utilizes stochastic fluctuations to extract birth and death rates from population size time series data. I will demonstrate the method on logistic growth to study density dependence\, but the method can be applied to general birth-death processes and does not require a priori assumptions on the rates. I will also discuss how to implement the theory on sample data and our estimation error analysis. This is based on published work joint with Peter Thomas (Case Western Reserve University) and Jacob Scott (Cleveland Clinic) and can be found here: Inferring density-dependent population dynamics mechanisms through rate disambiguation for logistic birth-death processes. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-linh-huynh-university-of-utah/ LOCATION:Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20230306T161500 DTEND;TZID=America/Los_Angeles:20230306T171500 DTSTAMP:20260418T111738 CREATED:20230118T184527Z LAST-MODIFIED:20230208T193952Z UID:3032-1678119300-1678122900@colleges.claremont.edu SUMMARY:Applied Math Seminar: Nataliya Vasylyeva (IAMM NAS of Ukraine) DESCRIPTION:Title: Identification of the order of semilinear subdiffusion with memory \nAbstract: See attached abstract URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-nataliya-vasylyeva-iamm-nas-of-ukraine/ LOCATION:Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20230227T161500 DTEND;TZID=America/Los_Angeles:20230227T171500 DTSTAMP:20260418T111738 CREATED:20221011T224115Z LAST-MODIFIED:20230816T040643Z UID:2958-1677514500-1677518100@colleges.claremont.edu SUMMARY:Applied Math Seminar: Michael Perlmutter (UCLA) DESCRIPTION:Title:Geometric Scattering on Measure Spaces \nAbstract:\nGeometric Deep Learning is an emerging field of research that aims to extend the success of convolutional neural networks (CNNs) to data with non-Euclidean geometric structure. Despitebeing in its relative infancy\, this field has already found great success in many applications such as recommender systems\, computer graphics\, and traffic navigation. In order to improve our understanding of the networks used in this new field\, several works have proposed novelversions of the scattering transform\, a wavelet-based model of CNNs for graphs\, manifolds\,and more general measure spaces. In a similar spirit to the original Euclidean scattering transform\, these geometric scattering transforms provide a mathematically rigorous framework for understanding the stability and invariance of the networks used in geometric deep learning.Additionally\, they also have many interesting applications such as drug discovery\, solving combinatorial optimization problems\, and predicting patient outcomes from single-cell data. In particular\, motivated by these applications to single-cell data\, I will also discuss recent work proposing a diffusion maps style algorithm with quantitative convergence guarantees for implementing the manifold scattering transform from finitely many samples of an unknown manifold. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-michael-perlmutter-ucla/ LOCATION:Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20221128T161500 DTEND;TZID=America/Los_Angeles:20221128T171500 DTSTAMP:20260418T111738 CREATED:20220920T153253Z LAST-MODIFIED:20221122T174526Z UID:2939-1669652100-1669655700@colleges.claremont.edu SUMMARY:Applied Math Seminar: Juergen Kritschgau (Carnegie Mellon) DESCRIPTION:Title: Using Mutual Information of Hypergraph Compressions for Clustering\n\nAbstract: Hypergraphs are often used to represent higher order observed relationships between subjects of study. In particular\, the vertices of a hypergraph could represent the basic elements of study\, and edges represent observed relationships between the vertices. Implicitly\, the assumption is that observed edges are more (or less) likely to appear between vertices that are “similar”. Therefore\, an important question in data science is whether the edges of a hypergraph can be used to recover ground truth vertex labels where two vertices receive the same label if they are similar. This is known as the clustering problem. In this talk\, we will discuss how mutual information of hypergraph compressions can be used to cluster hypergraphs\, and apply this clustering strategy to synthetic and real world data sets. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-juergen-kritschgau-carnegie-mellon/ LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20221121T161500 DTEND;TZID=America/Los_Angeles:20221121T171500 DTSTAMP:20260418T111738 CREATED:20220905T171325Z LAST-MODIFIED:20230816T040911Z UID:2830-1669047300-1669050900@colleges.claremont.edu SUMMARY:Applied Math Seminar: Junshan Lin (Auburn) DESCRIPTION:Title: Scattering Resonances Through Subwavelength Holes and Their Applications in Imaging and Sensing \nAbstract:\nThe so-called extraordinary optical transmission (EOT) through metallic nanoholes has triggered extensive research in modern plasmonics and their applications in bio-sensing\, imaging\, etc. This talk aims to provide quantitative mathematical theories to understand a variety of resonances that induce the EOT phenomenon and present mathematical studies for their applications in imaging and sensing. \nIn the first part of the talk\, based upon the layer potential technique\, asymptotic analysis and the homogenization theory\, I will present rigorous mathematical analysis to investigate the scattering resonances for several typical two-dimensional structures\, including Fabry-Perot resonance\, Fano resonance\, etc. In the second part of the talk\, mathematical studies for their applications in sensing and super-resolution imaging will be discussed. I will focus on the resonance frequency sensitivity analysis and how one can achieve super-resolution by using plasmonic nanohole structures. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-junshan-lin-auburn/ LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20221114T161500 DTEND;TZID=America/Los_Angeles:20221114T171500 DTSTAMP:20260418T111738 CREATED:20220919T154642Z LAST-MODIFIED:20221101T152658Z UID:2932-1668442500-1668446100@colleges.claremont.edu SUMMARY:Applied Math Seminar: Jahrul Alum (Memorial University of Newfoundland) DESCRIPTION:Title: Data-driven large eddy simulation of atmospheric turbulence \nAbstract: Over the last few years\, machine learning has been critical in science and engineering and emerged as a data-driven turbulence model. However\, machine learning depends on training data from previous experiments on turbulent flows. Typically\, training data capture only a fraction of the active scales of turbulence. Despite decades of research\, the best turbulence theory has yet to emerge\, which limits the training of supervised machine learning models. Reinforcement learning is one way to alleviate these challenges. A reinforcement learning model interacts directly with the dynamical system itself. In this talk\, I will use the Burgers equation to illustrate data-driven learning of dynamical systems. Then\, I use simulations of a NACA airfoil and a wind farm to outline the reinforcement learning framework. Finally\, the talk presents a proof of concept for optimizing large eddy simulation through reinforcement learning. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-jahrul-alum-memorial-university-of-newfoundland/ LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20221107T161500 DTEND;TZID=America/Los_Angeles:20221107T171500 DTSTAMP:20260418T111738 CREATED:20220913T161358Z LAST-MODIFIED:20230816T041034Z UID:2921-1667837700-1667841300@colleges.claremont.edu SUMMARY:Applied Math Seminar: Angel Chavez (Pomona) DESCRIPTION:Title: Randomized Sums of Graph Spectra \nAbstract:\nThe adjacency matrix of an Erdős-Rényi-Gilbert graph is a random symmetric matrix whose entries are Bernoulli random variables. These entries\, modulo the constraints imposed by symmetry\, are independent. We aim to understand the asymptotic behavior of randomized sums of the spectra and singular spectra of these matrices. In particular\, we establish several central-limit type theorems for these randomized sums of eigenvalues and singular values. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-angel-chavez-pomona/ LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20221031T161500 DTEND;TZID=America/Los_Angeles:20221031T171500 DTSTAMP:20260418T111738 CREATED:20220909T224518Z LAST-MODIFIED:20221026T145641Z UID:2849-1667232900-1667236500@colleges.claremont.edu SUMMARY:Applied Math Seminar: Anna Nelson (Duke) DESCRIPTION:Title: Mathematical modeling of polymerization processes in physiology\n\nAbstract: Polymerization\, or aggregation\, is essential for many physiological systems. For example\, the emergence of a fibrin polymer mesh during the formation of a blood clot is required for a stable clot and long-term\, sustained intracellular transport in neurons rely on persistent yet dynamic polymers that comprise the microtubule cytoskeleton. In the first part of the talk\, I will discuss a kinetic polymerization model that represents the formation of a fibrin polymer mesh with interactions with its precursor molecule\, fibrinogen. With this model\, we investigate how fibrin-fibrinogen interactions can impact gel structure (such as concentration of branch points) and gel time. In the second part\, I will introduce a stochastic mathematical model of individual microtubule growth and catastrophe in the dendrite of a neuron. Using parameters informed by experimental data\, we explore what mechanisms could control the equilibrium microtubule length and validate these mechanisms using fluorescence microscopy data.  \n\n  URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-anna-nelson-duke/ LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20221024T161500 DTEND;TZID=America/Los_Angeles:20221024T171500 DTSTAMP:20260418T111738 CREATED:20220929T220052Z LAST-MODIFIED:20220929T220052Z UID:2818-1666628100-1666631700@colleges.claremont.edu SUMMARY:Applied Math Seminar: Susan Friedlander (USC) DESCRIPTION:Title: Kolmogorov\, Onsager and a Dyadic Model for Turbulence \nAbstract: We will briefly review Kolmogorov’s ( 41) theory of homogeneous turbulence\nand Onsager’s ( 49 ) conjecture that in 3-dimensional turbulent flows energy\ndissipation might exist even in the limit of vanishing viscosity. \nAlthough over the past 70 years there is a vast body of literature related to this subject\,\nat present there is no rigorous mathematical proof that the solutions to the Navier-Stokes\nequations yield Kolmogorov’s laws. For this reason various models have been introduced\nthat are more tractable but capture some of the essential features of the Navier-Stokes\nequations themselves. We will discuss one such dyadic model for turbulent energy cascades.\nWe will describe how results can be used to prove this dyadic model is consistent with\nKolmogorov’s theory and Onsager’s conjecture. \nAspects of the work are joint with Alexey Cheskidov\, Nathan Glatt-Holtz\, Roman Shvydkoy\, and Vlad Vicol. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-susan-friedlander-usc/ LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20221010T161500 DTEND;TZID=America/Los_Angeles:20221010T171500 DTSTAMP:20260418T111738 CREATED:20220909T224751Z LAST-MODIFIED:20220929T215737Z UID:2850-1665418500-1665422100@colleges.claremont.edu SUMMARY:Applied Math Seminar: Adam Waterbury (UCSB) DESCRIPTION:Title: Approximating Quasi-Stationary Distributions with Interacting Reinforced Markov Chains\n\nAbstract: An important question in ecology is what conditions must be met for a population of interacting species to coexist. In realistic models of such populations\, after a large enough amount of time has passed\, one or more of the species are sure to face extinction. However\, the time that it takes for extinction to occur can be quite large\, so it is natural to consider whether the population can sustain any long-term coexistence before any of the species are extinct. This metastability is captured in the notion of a quasi-stationary distribution (QSD). However\, calculating the QSD of such a system can be numerically difficult\, as it amounts to solving a system of nonlinear equations\, which has led to a wide range of simulation-based methods that can be used to efficiently approximate QSD. In the first part of this talk I introduce two new simulation-based methods for approximating QSD that are described in terms of a large collection of interacting particles known as reinforced Markov chains. In the second part of this talk I discuss some related work studying the rare-event asymptotics of a related class of reinforced Markov chains. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-adam-waterbury-ucsb/ LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20221003T161500 DTEND;TZID=America/Los_Angeles:20221003T171500 DTSTAMP:20260418T111738 CREATED:20220909T225108Z LAST-MODIFIED:20220929T215943Z UID:2851-1664813700-1664817300@colleges.claremont.edu SUMMARY:Applied Math Seminar: Harlin Lee (UCLA) DESCRIPTION:Title: Understanding scientific fields with network analysis and topic modeling\n\nAbstract: As scientific disciplines get larger\, it becomes impossible for an individual researcher to be familiar with the entire body of literature\, which forces them to specialize in a sub-field. Such insulation can hinder the birth of ideas that arise from new connections\, eventually slowing down scientific progress. As such\, discovering fruitful interdisciplinary connections by analyzing scientific publications is an important problem in the science of science. This talk will present several past and ongoing projects in answering that question using tools from network analysis and topic modeling: 1) a dynamic-embedding-based method for link prediction in a machine learning semantic network\, where the nodes are concepts in machine learning\, and the time-stamped edges indicate co-occurrence in scientific papers\, and 2) finding communities in cognitive science that study similar topics but do not cite each other or publish in the same venues. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-harlin-lee-ucla/ LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20220919T161500 DTEND;TZID=America/Los_Angeles:20220919T171500 DTSTAMP:20260418T111738 CREATED:20220909T190042Z LAST-MODIFIED:20220910T044707Z UID:2846-1663604100-1663607700@colleges.claremont.edu SUMMARY:Applied Math Seminar: Chiu-Yen Kao (CMC) DESCRIPTION:Title: Computational Approaches to Optimization Problems in Inhomogeneous Rods and Plates \nAbstract: \nIn this talk\, we will show the experiments of the vibration of plates to generate Chladni’s figures and discuss computational approaches to optimization problems of inhomogeneous rods and plates. We consider both optimization of eigenvalues and localization of eigenfunctions. These problems are motivated by physical problems including the determination of extremum of fundamental vibration frequency and the localization of the vibration displacement. We demonstrate how an iterative rearrangement approach and a gradient descent approach with projection can successfully solve these optimization problems.\n\nThis is a joint work with Weitao Chen at University of California\, at Riverside and it is dedicated to our esteemed collaborator and friend: Ching-Shan Chou. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-chiu-yen-kao-cmc/ LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20220502T161500 DTEND;TZID=America/Los_Angeles:20220502T171500 DTSTAMP:20260418T111738 CREATED:20220422T161142Z LAST-MODIFIED:20220422T161142Z UID:2651-1651508100-1651511700@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Almut Burchard (U. Toronto) DESCRIPTION:Title: What is the best shape? Geometric\nproblems arising in aggregation models \nAbstract: How do pair interactions shape the large-scale\nbehaviour of a cloud of particles (animals\,\nsocial agents …) ?  In the most basic\nmodels\, the shape of the cloud is determined\nby minimizing an attractive-repulsive interaction\nenergy under suitable geometric constraints. \nWhen can we expect aggregation to occur? what\nis the shape of the resulting flock?  I will\ndescribe recent work on optimal shapes in capacitor\nproblems  that occur as limiting cases. \n  URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-almut-burchard-u-toronto/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20220425T161500 DTEND;TZID=America/Los_Angeles:20220425T171500 DTSTAMP:20260418T111738 CREATED:20211213T202110Z LAST-MODIFIED:20230816T041400Z UID:2518-1650903300-1650906900@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Alona Kryshchenko (CSUCI) DESCRIPTION:Title: Data science and applications in dynamic topic modeling \nAbstract:\nThe shockwaves of the big data boom have thrown into sharp relief the critical need for domain-driven\, large-scale data analytic techniques across the fields of\, among others\, finance\, political science\, economics\, psychology\, and medicine. It is not simply the size of data sets that contributes to the extreme challenges of data analysis in these fields\, but the inherent complexity of this data. Often this data is multi-modal\, with modes representing measurements along different dimensions (e.g.\, spatial\, and temporal dimensions of video data\, or word and document dimensions of text corpora data). This data is often naturally formatted as a tensor\, a higher-order generalization of a matrix. In this talk\, we will explore nonnegative tensor decompositions and their applications in dynamic topic modeling. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-alona-kryshchenko-csuci/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20220411T161500 DTEND;TZID=America/Los_Angeles:20220411T171500 DTSTAMP:20260418T111738 CREATED:20220125T182732Z LAST-MODIFIED:20220125T182732Z UID:2562-1649693700-1649697300@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Applied Attractions at Claremont Colleges DESCRIPTION:During this student-centered Applied Math Seminar\, there will be discussion and presentation about upcoming courses in applied mathematics to help students make their enrollment choices for Fall 2022 and beyond. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-applied-attractions-at-claremont-colleges/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20220404T161500 DTEND;TZID=America/Los_Angeles:20220404T173000 DTSTAMP:20260418T111738 CREATED:20220328T041515Z LAST-MODIFIED:20220328T041515Z UID:2677-1649088900-1649093400@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Kathryn G. Link (UC Davis) DESCRIPTION:Title: Viscoelastic Effects of Spontaneous Oscillations of Elastic Filaments in the Follower-Force Problem. \nAbstract: It is well know that microorganisms\, such as bacteria and eukaryotes\, often move in intricate environments experiencing mechano-chemical dynamics. These environments consist of rheologically complex substances such as mucus and other biofilms that are more complicated than water.  Spermatozoa (sperm)\, for example\, swim in viscoelastic mucus via deformations of their flagella\, which are slender threadlike structures that are powered by internal molecular motors. The motor activity generates flagellar bending\, resulting in an undulatory beat. The effects of a fading-memory fluid on emergent properties of these spontaneous oscillations are not entirely known. Here we combine analysis with numerical simulations of finite-length\, small-amplitude pinned filaments subject to a compressive follower force to elucidate the Hopf bifurcation that occurs with increasing forcing on the filament. Additionally\, we determine characteristics of the flapping motion\, specifically frequency and amplitude changes and how those changes depend on follower force strength as well as fluid elasticity. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-kathryn-g-link-uc-davis/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20220321T161500 DTEND;TZID=America/Los_Angeles:20220321T171500 DTSTAMP:20260418T111738 CREATED:20220110T210855Z LAST-MODIFIED:20230816T041537Z UID:2521-1647879300-1647882900@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Jamie Haddock (HMC) DESCRIPTION:Title: Connections between Iterative Methods for Linear Systems and Consensus Dynamics on Networks \nAbstract:\nThere is a well-established linear algebraic lens for studying consensus dynamics on networks\, which has yielded significant theoretical results in areas like distributed computing\, modeling of opinion dynamics\, and ranking methods. Recently\, strong connections have been made between problems of consensus dynamics on networks and classical iterative methods in numerical linear algebra. This talk will discuss an instance of these connections\, in particular between the gossip methods in distributed computing and the Kaczmarz methods in numerical linear algebra. We will present theoretical convergence results\, empirical and numerical simulation results\, and discuss future work in applying these numerical linear algebraic techniques to broader and more complex consensus dynamics models\, especially those coming from opinion dynamics and ranking. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-jamie-haddock-hmc/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20220228T161500 DTEND;TZID=America/Los_Angeles:20220228T171500 DTSTAMP:20260418T111738 CREATED:20220125T180406Z LAST-MODIFIED:20220317T190247Z UID:2558-1646064900-1646068500@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Illia Karabash (IAMM of NAS of Ukraine and TU Dortmund) DESCRIPTION:Title: Pareto optimization of resonances and optimal control methods \nAbstract: \nFirst successes in fabrication of high-Q optical cavities two decades ago led to active applied physics and numerical studies of optimization problems involving resonances. The questions is how to design an open resonator that has an eigenvalue as close as possible to the real line under certain constraints. The analytic spectral optimization theory for such types of non-Hermitian eigenproblems is still in the stage of development. It is planned to explain briefly why the Pareto optimization settings are natural for non-Hermitian spectral problems\, and how the associated nonlinear Euler-Lagrange eigenproblems can be rigorously derived for the case of resonances in 1-d photonic crystals. Then we concentrate on the recently developed optimal control approach of (Karabash\, Koch\, Verbytskyi `20) and show how it is related to Pareto frontiers and Hamilton-Jacobi-Bellman PDEs. An application of Pontryagin Maximum Principle and a special method of minimum-time shooting to a line of no-return will be also discussed. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-illia-karabash-tu-dortmund/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20220214T161500 DTEND;TZID=America/Los_Angeles:20220214T171500 DTSTAMP:20260418T111738 CREATED:20220125T182526Z LAST-MODIFIED:20220125T182526Z UID:2560-1644855300-1644858900@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Project Pitch Day DESCRIPTION: URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-project-pitch-day/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20220207T161500 DTEND;TZID=America/Los_Angeles:20220207T171500 DTSTAMP:20260418T111738 CREATED:20220125T183035Z LAST-MODIFIED:20220201T005247Z UID:2565-1644250500-1644254100@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Yunied Puig de Dios (CMC) DESCRIPTION:Title: Modern techniques to approach the invariant subspace problem \nAbstract:  The invariant subspace problem is by far one of the most important problems in operator theory. It has been open for more than half a century\, and there are many significant contributions with a huge variety of techniques\, making this challenging problem so interesting; however the solution seems to be nowhere in sight. In this talk we are going to present a technique born in the 90’s and developed in the last two decades that has contributed tremendously to approach the invariant subspace problem\, becoming a very popular branch of operator theory and functional analysis\, called linear dynamics. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-yunied-puig-de-dios-cmc/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20211129T161500 DTEND;TZID=America/Los_Angeles:20211129T171500 DTSTAMP:20260418T111738 CREATED:20210908T234419Z LAST-MODIFIED:20210927T040415Z UID:2320-1638202500-1638206100@colleges.claremont.edu SUMMARY:Applied Math Seminar - Joan Ponce (UCLA) DESCRIPTION:Title: TBA \nAbstract: \nTBA URL:https://colleges.claremont.edu/ccms/event/applied-mathematics-seminar-joan-ponce-ucla/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20211115T161500 DTEND;TZID=America/Los_Angeles:20211115T171500 DTSTAMP:20260418T111738 CREATED:20210908T235409Z LAST-MODIFIED:20211112T005303Z UID:2325-1636992900-1636996500@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Christopher Miles (UC Irvine) DESCRIPTION:Title:  Collective motion in the mitotic spindle \nAbstract:  Math models of interacting individuals moving as a collective have been profoundly successful in describing physical and social phenomena ranging from swarming insects to human crowds. Especially in molecular biology\, recent advances in machine-learning-based automated tracking have led to droves of new data of collective motion. I’ll discuss two related projects\, both studying chromosomes (DNA) moving during mitosis (cell division). The first project will hopefully convince you that modeling this system as a collective is interesting\, exploring how collective motion models might describe how cancer cells avoid death. The second project will try to address how to actually incorporate data into the modeling process now that we have it. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-christopher-miles-uc-irvine/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20211108T161500 DTEND;TZID=America/Los_Angeles:20211108T171500 DTSTAMP:20260418T111738 CREATED:20210908T230638Z LAST-MODIFIED:20211108T182044Z UID:2317-1636388100-1636391700@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Sara Clifton (St. Olaf College) DESCRIPTION:Title: Understanding Complex Social Systems using Minimal Mathematical Models \nAbstract: \nMinimal mathematical models are used to understand complex phenomena in the physical\, biological\, and social sciences. This modeling philosophy never claims\, nor even attempts\, to fully capture the mechanisms underlying the phenomena\, and instead offers insights and predictions not otherwise possible. Here\, we explore minimal dynamical systems models to understand several complex social phenomena\, including the profit-driven abandonment of restaurant tipping\, the public health tradeoffs of e-cigarettes\, and the progression of women through professional hierarchies. Because of their simplicity\, these models offer new connections between existing fields\, give optimal solutions with limited data\, and provide qualitative predictions of future events. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-sara-clifton-st-olaf-college/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Maryann Hohn":MAILTO:Maryann.Hohn@pomona.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20211101T161500 DTEND;TZID=America/Los_Angeles:20211101T171500 DTSTAMP:20260418T111738 CREATED:20210902T180750Z LAST-MODIFIED:20211005T215106Z UID:2282-1635783300-1635786900@colleges.claremont.edu SUMMARY:Applied Math Seminar — Selenne Bañuelos (Cal State University Channel Islands and Institute for Pure and Applied Mathematics\, UCLA) DESCRIPTION:Title: Exploring Phage Treatment for Bacterial Infections with Mathematical Modeling \nAbstract: \nAntimicrobial resistance (AMR) is a serious threat to global health today. A renewed interest in phage therapy – the use of bacteriophages to treat pathogenic bacterial infections – has emerged given the spread of AMR and lack of new drug classes in the antibiotic pipeline. This talk will feature mathematical models from an ongoing research project that began in 2019 during the Collaborative Workshop for Women in Mathematical Biology at IPAM.  The first model considers the effect of phage-antibiotic combination therapy. We utilized this model to examine the role of the immune response in concert with phage-antibiotic combination therapy compounded with the effects of the immune system on the phages being used for treatment.  We will then discuss our current work as we collaborate with an experimental biologist.  This model investigates the bacteria-phage interaction in vitro.  We will discuss how our model has given insights into the challenges that arise from limited information in clinical trials\, and the delightful experience of how experimental biologists and applied mathematicians provide guidance to each other to move the project forward. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-selenne-banuelos-cal-state-university-channel-islands/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20211025T161500 DTEND;TZID=America/Los_Angeles:20211025T171500 DTSTAMP:20260418T111738 CREATED:20210903T204031Z LAST-MODIFIED:20211022T152646Z UID:2297-1635178500-1635182100@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Mario Banuelos (Cal State University\, Fresno) DESCRIPTION:Title: A Recommendation Systems Approach for Detecting Epistasis \nAbstract: \nThere are a variety of methods used to understand and interpret an organism’s phenotype\, the physical expression of one or more genes. Epistasis\, the phenomenon of one mutation affecting the resulting quantitative or qualitative phenotype\, is used to assess gene variation in an attempt to find a combination of single nucleotide polymorphisms (SNPs) that contribute to a certain phenotype. Since one SNP rarely completely describes an organism’s phenotype\, detecting these groups\, or coalitions\, of mutations without relying on an exponential number of numbers is one of the main challenges in this field. To alleviate these computational bottlenecks\, we propose a neighborhood-based collaborative filtering approach by viewing this data with a recommender system formulation. As such\, we are able to detect statistically significant higher order SNP interaction phenotypes related to muscle mice genomic variants. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-mario-banuelos-cal-state-university-fresno/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20211011T161500 DTEND;TZID=America/Los_Angeles:20211011T171500 DTSTAMP:20260418T111738 CREATED:20210922T024054Z LAST-MODIFIED:20211011T071415Z UID:2387-1633968900-1633972500@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Leif Zinn-Brooks (HMC/Scripps) DESCRIPTION:Title: Circadian Rhythms in Multinucleate Cells \nAbstract: \nCircadian rhythms are among the most researched cellular processes\, but limited work has been done on how these rhythms are coordinated between nuclei in multinucleate cells. I’ll analyze a mathematical model for circadian oscillations in a multinucleate cell\, motivated by mRNA and protein data from the filamentous fungus Neurospora crassa. Stochastic simulations of this model illuminate the importance of mRNA-protein phase separation\, in which mRNAs are kept close to the nucleus in which they were transcribed\, while proteins can diffuse freely across the cell. This phase separation allows for a robust oscillator to be assembled with very low mRNA counts. I’ll also discuss how the labor of transcribing mRNAs is divided between nuclei\, both when nuclei are evenly spaced across the cell and when they are not. Division of this labor can be regulated by controlling the amount of cytoplasmic volume available to each nucleus. Our results indicate that there is potential for emergent organization and extreme mRNA efficiency in multinucleate cells. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-leif-zinn-brooks-hmc-scripps/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20211004T161500 DTEND;TZID=America/Los_Angeles:20211004T171500 DTSTAMP:20260418T111738 CREATED:20210908T152516Z LAST-MODIFIED:20210928T171304Z UID:2313-1633364100-1633367700@colleges.claremont.edu SUMMARY:Applied Math Seminar -- Manuchehr Aminian (Cal Poly Pomona) DESCRIPTION:Title: Traditional Applied Math\, and then\, Working with High Dimensional Biological Data \nAbstract: \n\nI will give an overview of my interests in two parts. The first part will be on passive tracer problems – with the goal of finding formulas of descriptive statistics (mean\, variance\, skewness) for a solute distribution advected by a smooth flow in a tube with arbitrary cross-section. We found explicit formulas which predict these statistics relying ultimately only on the cross-section of the tube\, and see agreement with numerical simulation as well as experiment. Some partial derivatives and pretty pictures from simulations will be shown.  \n\n\nIn the second part\, I’ll talk about my projects outside of partial differential equations. The main thrust of my (pre-pandemic) postdoctoral project was applying math and machine learning approaches to identify biomarkers predictive of pre-symptomatic infection in “omics” data sets from human challenge studies of influenza-like illnesses. I’ll define the jargon\, and talk about our successes* in answering a few questions: \n\n\n\nGiven a collection of blood samples from study participants\, can one identify (classify) a new blood sample as coming from a “shedder” (one who may be expected to be contagious) in the first 24 hours after exposure? \n\n\nGiven a collection of granular blood samples from study participants over the first week of infection\, and given a blood sample from someone already known to be infected\, can one predict how long it has been since the exposure event? \n\n\n*Our research did not result in technologies which stopped the pandemic; so in that sense\, we were not successful. URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-manuchehr-aminian-cal-poly-pomona/ LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States CATEGORIES:Applied Math Seminar ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu END:VEVENT END:VCALENDAR