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  • Freedman Seminar: Michael Freedman, CMSA & Bowen Yang, CMSA

    Virtual

    Freedman Seminar Speaker: Michael Freedman, Harvard CMSA Title: Sullivan’s work on Lipschitz structures Part II (but self-contained)   Speaker: Bowen Yang, CMSA Title: Deligne and Sullivan's work on complex bundles […]

  • Featured

    Conference on Geometry and Statistics

    CMSA 20 Garden Street Cambridge, Massachusetts 02138 United States

    Conference on Geometry and Statistics Dates: November 17–19, 2025 Location: CMSA G10, 20 Garden Street, Cambridge MA & via Zoom   Speakers Charles Fefferman, Princeton University Stephan Huckemann, Georg-August Universität […]

  • BV and the ThimTFT

    CMSA Room G02 20 Garden Street, Cambridge, MA

    Quantum Field Theory and Physical Mathematics Seminar Speaker: Justin Kulp, Stony Brook Title: BV and the ThimTFT Abstract: The SymTFT (or “quiche”) construction relates different global forms of d-dimensional QFTs […]

  • Featured

    Interaction of Statistics and Geometry: A New Landscape for Data Science

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Colloquium Speaker: Zhigang Yao (National University of Singapore) Title: Interaction of Statistics and Geometry: A New Landscape for Data Science Abstract:  Classical statistics views data as real numbers or vectors in Euclidean […]

  • Differentials and Singularities

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Algebra Seminar Speaker: Dawei Chen, Boston College Title: Differentials and Singularities Abstract: Given a holomorphic differential on a smooth algebraic curve, we associate to it a Gorenstein curve singularity with […]

  • Tropical-Topological(Tropological) Sigma Models

    Virtual

    Differential Geometry and Physics Seminar Speaker: Andrés Franco Valiente, UC Berkeley Title: Tropical-Topological (Tropological) Sigma Models Abstract: Tropical geometry provides a powerful bridge between complex and combinatorial worlds, allowing certain curve-counting invariants […]

  • Optimal learning protocols via statistical physics and control theory

    Common Room, CMSA 20 Garden Street, Cambridge, MA, United States

    Member Seminar Speaker: Francesco Mori, CMSA Title: Optimal learning protocols via statistical physics and control theory Abstract: Behind the impressive performance of modern machine learning lies a toolkit of training tricks, from […]

  • Geometric Simplicity in Quantum Field Theory and Gravity

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Colloquium Speaker: Thomas Grimm, Utrecht University Title: Geometric Simplicity in Quantum Field Theory and Gravity Abstract: In physics we attribute much value to the emergence of simplicity, both conceptually and […]

  • Coulomb branches and KLRW algebras

    Science Center 507 1 Oxford Street, Cambridge

    Geometry and Quantum Theory Seminar Speaker:Vasily Krylov, CMSA Title: Coulomb branches and KLRW algebras Abstract: I will introduce Coulomb branches associated to a pair of a reductive group G and its […]

  • Asymptotic Theory of Attention: In-Context Learning and Sparse Token Detection

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Colloquium Speaker: Yue M. Lu, Harvard University Title: Asymptotic Theory of Attention: In-Context Learning and Sparse Token Detection Abstract: Attention-based architectures exhibit striking emergent abilities—from learning tasks directly from context to detecting rare, […]

  • Homological mirror symmetry for Coulomb branches

    Science Center 507 1 Oxford Street, Cambridge

    Geometry and Quantum Theory Seminar Speaker: Sebastian Haney, Harvard Title: Homological mirror symmetry for Coulomb branches Abstract: I will describe a result of Aganagic, Danilenko, Li, Shende, and Zhou which constructs a embeddings […]

  • Machine learning tools for mathematical discovery

    Virtual

    New Technologies in Mathematics Seminar Speaker: Adam Zsolt Wagner, Google DeepMind Title: Machine learning tools for mathematical discovery Abstract: I will discuss various ML tools we can use today to […]