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 […]
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 […]
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.
Workshop on Calabi-Yau metrics and optimal transport Dates: May 18–22, 2026 Location: Harvard CMSA, 20 Garden Street, Cambridge MA Recent advances in the study of Calabi-Yau metrics have revealed an interesting connection with optimal transport, and the regularity theory for optimal transport is expected to play an increasingly important role in the study of Kähler […]
Quantum Field Theory and Physical Mathematics Seminar
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. […]
Big Data Conference 2026 Dates: Sep. 3–4, 2026 Location: Harvard University CMSA, 20 Garden Street, Cambridge & via Zoom The Big Data Conference features speakers from the Harvard community as well as scholars from across the globe, with talks focusing on computer science, statistics, math and physics, and economics. Details TBA
The Geometry of Machine Learning 2026 Dates: September 8–11, 2026 Location: Harvard CMSA, Room G10, 20 Garden Street, Cambridge MA 02138 Organizers: Michael R. Douglas (CMSA) and Mike Freedman (CMSA) Details TBA Support provided by Logical Intelligence.
Lagrangian Floer theory and Applications Program Dates: September 15-November 21, 2026 Location: CMSA G10, 20 Garden St., Cambridge MA 02138 This thematic program will focus on recent developments in Lagrangian Floer theory and applications. These i nclude the development of family Floer theory, degeneration techniques, Floer homotopy theory in the Lagrangian case, Floer theory in […]
CMSA/Tsinghua Math-Science Literature Lecture Date: September 16, 2026 Time: 9:00 - 10:30 am ET Location: CMSA G10, 20 Garden Street & via Zoom Webinar Speaker: Robert E. Gompf, University of Texas, Austin Beginning in Spring 2020, the CMSA began hosting a lecture series on literature in the mathematical sciences, with a focus on significant […]
CMSA Q&A Seminar Speaker: Hugh Woodin, Harvard Title: Truth, proof, and AI
Workshop on Lagrangian Floer theory and applications Dates: September 28 – October 2, 2026 Location: CMSA G10, 20 Garden St., Cambridge MA 02138 This workshop is part of the Lagrangian Floer theory and applications Program Organizers: Denis Auroux (Harvard), Jonny Evans (Lancaster), and Chris Woodward (Rutgers) details tba