Workshop on Quantum Field Theory and Topological Phases via Homotopy Theory and Operator Algebras Dates: June 30 - July 11, 2025 Location: CMSA, 20 Garden Street, Cambridge MA and Max Planck Institute for Mathematics, Bonn, Germany This event is a twinned workshop at the CMSA (Harvard) and the Max Planck Institute for Mathematics (Bonn). Lectures will alternate […]
Joint BHI/CMSA Foundation Seminar Location: BHI seminar room Speaker: Noa Zilberman (Princeton University) Title: The semiclassical energy outflux emerging from a collapsing shell Abstract: When a compact object collapses to form a black hole, quantum field theory predicts the emission of an energy outflux to future null infinity, which later relaxes to Hawking radiation. Within […]
Geometry and Quantum Theory Seminar Speaker: Saman Habibi Esfahani, Harvard CMSA Title: Fukaya category and gauge theory Abstract: After setting up some background, I will discuss the Fukaya $A_\ infty$-category and several instances where it appears in gauge theory, such as in the study of flat connections on Riemann surfaces, holomorphic sections of some hyperkähler […]
Fall CMSA Welcome Event Date: September 3, 2025 Time: 4:00 pm Location: CMSA Common Room, 20 Garden Street, Cambridge MA All CMSA and Math affiliates are invited.
Math and Machine Learning Reunion Workshop Dates: September 8–10, 2025 Location: Harvard CMSA, Room G10, 20 Garden Street, Cambridge MA Machine learning and AI are increasingly important tools in all fields of research. In the fall of 2024, the CMSA Mathematics and Machine Learning Program hosted 70 mathematicians and machine learning experts, ranging from beginners to […]
Geometry and Quantum Theory Seminar Speaker: Lorenzo Riva Title: Higher categories of cobordisms Abstract: I will give a brief introduction to topological field theories from a higher categorical perspective. After saying a few things about higher categories, I will define a family of n-categories of bordisms and talk about their universal properties. I will try […]
Big Data Conference 2025 Dates: Sep. 11–12, 2025 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. Invited Speakers Markus J. Buehler, MIT […]
The Geometry of Machine Learning Dates: September 15–18, 2025 Location: Harvard CMSA, Room G10, 20 Garden Street, Cambridge MA 02138 Despite the extraordinary progress in large language models, mathematicians suspect that other dimensions of intelligence must be defined and simulated to complete the picture. Geometric and symbolic reasoning are among these. In fact, there seems […]
Quantum Field Theory and Physical Mathematics Seminar Speaker: Chuck Doran (Alberta/CMSA) Title: Orientifolds for F-theory on K3 Surfaces Abstract: Compactification of F-theory on an elliptically fibered K3 surface provides a framework to encode type IIB string theory on elliptic curves, with the Kaehler modulus of the elliptic curve encoded in the complex structure of the elliptic fibers. In […]
Colloquium Speaker: Michael Freedman (Harvard CMSA and Logical Intelligence) Title: Topological Manifolds – The First 100 Years Abstract: I’ll review manifold topology in the topological category from its start with work of Rado (1925) and Kneser (1926) to the present. Work of Moise, Mazur, Kirby, Siebenmann, Sullivan, Kruskal, and the speaker will be discussed. In my view […]
Geometry of Machine Learning Special Lecture: Yann LeCun Title: Self-Supervised Learning, JEPA, World Models, and the future of AI Date: Tuesday, Sep. 16, 2025 Time: 5:00 pm ET Location: Harvard Science Center, Hall C & via Zoom Webinar
https://youtu.be/60X5M1FhmUc Millennium Prize Problems Lecture Date: September 17, 2025 Location: Harvard Science Center Hall D & via Zoom Webinar Time: 5:00–6:00 pm Speaker: Michael Freedman, Harvard CMSA and Logical Intelligence Title: The Poincaré Conjecture and Mathematical Discovery Abstract: The AI age requires us to re-examine what mathematics is about. The Seven Millenium Problems provide an […]