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X-ORIGINAL-URL:https://colleges.claremont.edu/ccms
X-WR-CALDESC:Events for Claremont Center for the Mathematical Sciences
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DTSTART;TZID=America/Los_Angeles:20250421T161500
DTEND;TZID=America/Los_Angeles:20250421T171500
DTSTAMP:20260620T132031
CREATED:20250130T003350Z
LAST-MODIFIED:20250320T010652Z
UID:3671-1745252100-1745255700@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Fabio Milner (Arizona State University)
DESCRIPTION:Title: Modeling viral STI epidemics \nAbstract: We will describe an SIR model of viral sexually transmitted infections in a population structured by sex and sexual preference and its validation in the simple SI case from HIV data incidence. We will also use the model to establish a plausible structure of the U.S. population by sexual preferences for men and women and perform a case scenario analysis of the impact that changes in sexual preferences may have in the incidence of STIs.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-fabio-milner-arizona-state-university/
LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250422T121500
DTEND;TZID=America/Los_Angeles:20250422T131000
DTSTAMP:20260620T132031
CREATED:20250304T000158Z
LAST-MODIFIED:20250421T175544Z
UID:3727-1745324100-1745327400@colleges.claremont.edu
SUMMARY:Algebraic properties of linguistic structure (Isabella Senturia\, Yale / Caltech)
DESCRIPTION:The recognition that theoretical models of natural language syntax have robust algebraic foundations is longstanding. Both the syntactic structures proposed (trees\, semirings\, etc.) and metrics developed to understand them (the Chomsky hierarchy\, partial orders\, and so forth) closely resemble structures and systems familiar to theoretical mathematicians (groups\, rings\, fields\, …). Despite the underlying mathematical tools\, rarely do structural properties of language get analyzed at an algebraic level. I use two complementary perspectives\, one representational and continuous (spectral graph theory) and one derivational and discrete (Hopf algebras)\, as lenses to explore mathematical properties of linguistic structure. I will also show a connection between the two approaches through a case study on the problem of learning syntactic parameters.
URL:https://colleges.claremont.edu/ccms/event/antc-talk-isabella-senturia-yale-caltech/
LOCATION:Estella 2113
CATEGORIES:Algebra / Number Theory / Combinatorics Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250422T150000
DTEND;TZID=America/Los_Angeles:20250422T160000
DTSTAMP:20260620T132031
CREATED:20250303T212722Z
LAST-MODIFIED:20250303T212722Z
UID:3724-1745334000-1745337600@colleges.claremont.edu
SUMMARY:Claremont Topology Seminar: Sam Nelson (Claremont McKenna College)
DESCRIPTION:We especially welcome all undergraduates and graduate students to attend topology seminar! \nSpeaker: Sam Nelson (Claremont McKenna College) \nTitle: Virtual Biquandle Cocycle Quiver Representations \nAbstract: We construct a quiver representation valued invariant of virtual knots and links using virtual biquandle homology.
URL:https://colleges.claremont.edu/ccms/event/claremont-topology-seminar-sam-nelson-claremont-mckenna-college/
LOCATION:Estella 2099\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, United States
CATEGORIES:Topology Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250423T161500
DTEND;TZID=America/Los_Angeles:20250423T173000
DTSTAMP:20260620T132031
CREATED:20250131T235210Z
LAST-MODIFIED:20250417T222240Z
UID:3677-1745424900-1745429400@colleges.claremont.edu
SUMMARY:CCMS Colloquium: Agent-Based and Continuous Models of Locust Hopper Bands (Andrew J. Bernoff\, Harvey Mudd College\, CA)
DESCRIPTION:Speaker: Andrew J. Bernoff\, Professor of Mathematics\, Harvey Mudd College \nAbstract: An outstanding challenge in mathematical biology is using laboratory and/or field observations to tune a model’s functional form and parameter values. These problems lie at the intersection of dynamical systems and data science. In this talk I will discuss an ongoing project developing models of the Australian plague locust for which excellent field data is available. Under favorable environmental conditions flightless juveniles aggregate into coherent\, aligned swarms referred to as hopper bands. We develop two models of hopper bands in tandem; an agent-based model that tracks the position of individuals and a continuum model describing locust density. By examining 4.4 million parameter combinations\, we identify a set of parameters that reproduce field observations. \nI will then discuss ongoing efforts to improve these models. The first extends this work by modeling locust alignment via the Kuramoto model of oscillator synchronization. The second uses motion tracking of tens of thousands of locusts to shed light on how locust movement is influenced by social interactions. \n  \nBio: Andrew Bernoff is a Professor of Mathematics whose research focuses on applying dynamical systems to physical and biological phenomena\, with notable international recognition for his work on swarming. He earned degrees in math and physics from MIT and a  PhD from the University of Cambridge as a Marshall Scholar. With over 50 published papers and multiple NSF and Simons Foundation grants\, his interdisciplinary collaborations span physics\, engineering\, chemistry\, and biology. \nA dedicated educator\, Bernoff has mentored over 60 undergraduate research projects at Harvey Mudd College\, with many students pursuing PhDs at top institutions. He has served in leadership roles including Director of the Claremont Center for Mathematical Sciences\, Chair of the SIAM Dynamical Systems Group\, and a co-author of the Putnam Exam (2019–2021).
URL:https://colleges.claremont.edu/ccms/event/ccms-colloquium-shivkumar-chandrasekaran-uc-santa-barbara/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Bahar Acu":MAILTO:Bahar_Acu@pitzer.edu
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250425T131500
DTEND;TZID=America/Los_Angeles:20250425T141500
DTSTAMP:20260620T132031
CREATED:20250423T051049Z
LAST-MODIFIED:20250423T051555Z
UID:3768-1745586900-1745590500@colleges.claremont.edu
SUMMARY:Data Science / Statistics Seminar: Ana Maria Kenney (UC Irvine)
DESCRIPTION:Speaker: Ana Maria Kenney\, Assistant Professor\, Department of Statistics\, UC Irvine \nTitle: Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference \nAbstract: Recent methodological developments have introduced new black-box approaches to better estimate heterogeneous treatment effects; however\, these methods fall short of providing interpretable characterizations of the underlying individuals who may be most at risk or benefit most from receiving the treatment\, thereby limiting their practical utility. In this work\, we introduce a novel method\, causal distillation trees (CDT)\, to estimate interpretable subgroups. CDT allows researchers to fit any machine learning model of their choice to estimate the individual-level treatment effect\, and then leverages a simple\, second-stage tree-based model to “distill” the estimated treatment effect into meaningful subgroups. As a result\, CDT inherits the improvements in predictive performance from black-box machine learning models while preserving the interpretability of a simple decision tree. We derive theoretical guarantees for the consistency of the estimated subgroups using CDT\, and introduce stability-driven diagnostics for researchers to evaluate the quality of the estimated subgroups. We illustrate our proposed method on a randomized controlled trial of antiretroviral treatment for HIV from the AIDS Clinical Trials Group Study 175 and show that CDT out-performs state-of-the-art approaches in constructing stable\, clinically relevant subgroups. \nBio: Ana Maria Kenney is an Assistant Professor in the Department of Statistics at UC Irvine. She works at the interface of statistics\, interpretable machine learning\, and large-scale optimization to advance biomedical research. She has been on several interdisciplinary teams across institutions spanning cardiovascular genetics\, “Omics” contributions to early infant growth\, and early cancer screening. She completed a postdoc at UC Berkeley and previously received a dual title Ph.D. at Penn State in Statistics and Operations Research. There she was a Biomedical Big Data to Knowledge Training Fellow and Alfred P. Sloan Ph.D. Scholar.
URL:https://colleges.claremont.edu/ccms/event/data-science-statistics-seminar-ana-maria-kenney-uc-irvine/
LOCATION:Roberts North 15\, CMC\, 320 E. 9th St.\, Claremont\, 91711\, United States
CATEGORIES:Special Event
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