• Applied Math Seminar: Ethan Epperly (Caltech)

    Emmy Noether Room, Estella 1021, Pomona College, 610 N. College Ave., Claremont, CA, United States

    Title: Randomly pivoted Cholesky: Fast, accurate matrix approximation for scientific machine learning Abstract: Low-rank approximation of positive semidefinite matrices is a basic problem in computational mathematics, with many applications to […]

  • CCMS Colloquium presents “Fall 2025 Course Preview Session”

    Fall 2025 Course Preview Session Moderator: Lenny Fukshansky, Professor of Mathematics, Claremont McKenna College, CA Slide Link: https://docs.google.com/presentation/d/142NF1vUazpGNLF0pfLKc0qhkv4VoMQstSvZ0yKtMfNE/edit?usp=sharing

  • Applied Math Seminar: Victoria Chebotaeva (USC)

    Emmy Noether Room, Estella 1021, Pomona College, 610 N. College Ave., Claremont, CA, United States

    Title: Erlang-Distributed SEIR Epidemical Models Abstract: We examine the effects of different dynamics in epidemiological models, focusing on two key approaches. The first model incorporates reaction-diffusion dynamics, where susceptible individuals […]

  • Claremont Topology Seminar: Sierra Knavel (Georgia Tech)

    Estella 2099, Pomona College 610 N. College Ave., Claremont, CA, United States

    We especially welcome all undergraduates and graduate students to attend topology seminar! Speaker: Sierra Knavel (Georgia Tech) Title: Betti Numbers and Indecomposability of Genus-2 Lefschetz Fibrations Abstract: Symplectic 4-manifolds, smooth […]

  • CCMS Colloquium: (Naneh Apkarian, Arizona State University, Arizona)

    Argue Auditorium, Pomona College 610 N. College Ave., Claremont, CA, United States

    Speaker:  Naneh Apkarian Professor of Mathematics, Arizona State University, Arizona Title: Student Success in an Interactive STEM Ecosystem Abstract: This talk begins with a discussion of the multifaceted nature of “student success” in STEM, including externally recognized markers (e.g., grades) and internally defined indicators (e.g., enjoyment). Investigations of the factors which contribute to student success […]

  • Applied Math Seminar: Fabio Milner (Arizona State University)

    Emmy Noether Room, Estella 1021, Pomona College, 610 N. College Ave., Claremont, CA, United States

    Title: Modeling viral STI epidemics Abstract: 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 […]

  • Claremont Topology Seminar: Sam Nelson (Claremont McKenna College)

    Estella 2099, Pomona College 610 N. College Ave., Claremont, CA, United States

    We especially welcome all undergraduates and graduate students to attend topology seminar! Speaker: Sam Nelson (Claremont McKenna College) Title: Virtual Biquandle Cocycle Quiver Representations Abstract: We construct a quiver representation […]

  • CCMS Colloquium: Agent-Based and Continuous Models of Locust Hopper Bands (Andrew J. Bernoff, Harvey Mudd College, CA)

    Argue Auditorium, Pomona College 610 N. College Ave., Claremont, CA, United States

    Speaker: Andrew J. Bernoff, Professor of Mathematics, Harvey Mudd College Abstract: 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 […]

  • Data Science / Statistics Seminar: Ana Maria Kenney (UC Irvine)

    Roberts North 15, CMC 320 E. 9th St., Claremont, United States

    Speaker: Ana Maria Kenney, Assistant Professor, Department of Statistics, UC Irvine Title: Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference Abstract: 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 […]