• Dynamics as intersection problem

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

    Colloquium Speaker: Nikita Nekrasov, Simons Center Title: Dynamics as intersection problem Abstract: Most classical and quantum field theories are based on an action principle. However, there are important exceptions to this --- hydrodynamics and the theory of self-dual fields. In this talk we formulate the covariant relativistic fluid dynamics, with or without magnetic fields, as […]

  • New directions in synthetic data

    Virtual
    Virtual Event

    New Technologies in Mathematics Seminar Speaker: Tatsunori Hashimoto, Stanford Title: New directions in synthetic data Abstract: Synthetic data has been an effective, if boring set of techniques: prompt some language model to restructure your corpus to match some downstream task, with occasionally some distillation. In this talk, we will take a more expansive view of […]

  • From Poincaré/Koszul duality to (twisted) AdS/CFT correspondence

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

    Member Seminar Speaker: Keyou Zeng Title: From Poincaré/Koszul duality to (twisted) AdS/CFT correspondence Abstract: Poincaré duality is a fundamental result in the (co)homology theory of manifolds. It has many applications in topology and vast generalizations to other types of “spaces,” such as singular/stratified spaces and schemes. In this talk, I will discuss a variant of Poincaré duality […]

  • When do anomalous finite symmetries in (3+1)d enforce gaplessness?

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

    Quantum Field Theory and Physical Mathematics Seminar Speaker: Matthew Yu (University of Oxford) Title: When do anomalous finite symmetries in (3+1)d enforce gaplessness? Abstract: I will explain a comprehensive framework for characterizing the infrared (IR) phases of a fermionic QFTs in (3+1)d, based on their quantum anomalies associated with a finite symmetry. We uncover a […]

  • Statistical Shape Analysis of Complex Natural Structures

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

    Colloquium Speaker: Anuj Srivastava, Johns Hopkins University Title: Statistical Shape Analysis of Complex Natural Structures Abstract: Statistical modeling and analysis of structured data is a fast-growing field in Statistics and Data Science. Rapid advances in imaging techniques have led to tremendous amounts of data for analyzing imaged objects across several scientific disciplines. Examples include shapes […]

  • Polynomial invariants of conjugation over finite fields

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

    Algebra Seminar Speaker: Aryaman Maithani, University of Utah Title: Polynomial invariants of conjugation over finite fields Abstract: Consider the conjugation action of GL₂(K) on the polynomial ring K. When K is an infinite field, the ring of invariants is a polynomial ring generated by the trace and the determinant. We describe the ring of invariants when K is a finite field, and show that it is a hypersurface.    

  • Abelian duality via derived geometry

    CMSA Room G02 20 Garden Street, Cambridge, MA

    Quantum Field Theory and Physical Mathematics Seminar Speaker: Owen Gwilliam, UMass Amherst Title: Abelian duality via derived geometry Abstract: We discuss how to synthesize differential cohomology and the BV formalism to describe generalized Maxwell theories (or abelian p-form gauge theories), and how this framework allows a succinct formulation of abelian duality. Given time, we will discuss how […]

  • Geometry and Quantum Theory Seminar

    Science Center 507 1 Oxford Street, Cambridge

    Joint Math/CMSA Geometry and Quantum Theory Seminar Speaker: Vasily Krylov, Harvard

  • Separation of timescales controls feature learning and overfitting in large neural networks

    Virtual
    Virtual Event

    New Technologies in Mathematics Seminar Speaker: Pierfrancesco Urbani, Universite Paris-Saclay, CNRS, CEA, Institut de physique theorique Title: Separation of timescales controls feature learning and overfitting in large neural networks Abstract: To understand the inductive bias and generalization capabilities of large, overparameterized machine learning models, it is essential to analyze the dynamics of their training algorithms. […]

  • Introduction to First Proof: A conversation

    Virtual

    Introduction to First Proof: A conversation Date: June 3, 2026 Time: 1:00–2:00 pm Location: via Webinar   Harvard CMSA Director Dan Freed will lead a dialogue with First Proof Editors Mohammed Abouzaid (Stanford), Nikhil Srivastava (UC Berkeley), Rachel Ward (UT Austin), and Lauren Williams (Harvard) to explore the origins and goals of First Proof, sample […]

  • First Proof, Second Batch: Results

    Virtual

    First Proof, Second Batch: Results Date: June 10, 2026 Time: 1:00–2:00 pm ET Location: via Webinar The First Proof Editors will present the results of their Second Batch benchmark testing on AI systems.   First Proof Editors Mohammed Abouzaid (Stanford) Nikhil Srivastava (UC Berkeley) Rachel Ward (UT Austin) Lauren Williams (Harvard)