Scalable, open-access and multidisciplinary data integration pipeline for climate-sensitive diseases
Dasgupta, A Perez-Fernandez, I Huynh, T Mills, C Nicholls, R Sambaturu, P Choisy, M Wallom, D Nguyen-Duy, T Inward, R Brittain, J Sparrow, S Kraemer, M Wellcome Open Research volume 10 467-467 (01 Aug 2026) doi:10.12688/wellcomeopenres.24774.3
Wed, 04 Nov 2026
11:30
C6

TBC

Alexander Mylet, Samuel Gil, Lucas Yeung
Abstract

to follow

Wed, 28 Oct 2026
11:30
C6

Operator-Algebraic Methods for Categorical Symmetries

Yuhan Gai
Abstract
In quantum many-body systems and quantum field theories, the notion of symmetry extends beyond groups to include higher categorical structures. In one spatial dimension, finite symmetries of this kind are described by unitary fusion categories. One could ask: how can such symmetries be realised on lattice systems, and which symmetries admit such realisations?
 
In this talk, I will first review fusion categories, together with an operator-algebraic framework for these fusion category symmetries in 1+1d lattice models, proposed by Evans and Jones [arXiv:2507.05185]. I will then discuss a recent result of Bunner and Jones [arXiv:2605.21327], showing that every unitary fusion category can be realised on tensor products of Hilbert spaces, provided infinite-dimensional ancillary Hilbert spaces are allowed.
Wed, 21 Oct 2026
11:30
C6

An overview of a C*-algebraic ultrapower technique

Joseph Gondek
Abstract

In recent joint work with Felipe Flores, it was shown that the C*-algebra generated by the quasi-regular representation of Thompson's F < T is purely infinite. The proof involves an ultrapower technique developed by Robert and later considered by Ozawa. In this talk, we will discuss why ultrapowers are relevant in this context and how one works with them, focusing on a few proof techniques.

Thu, 03 Dec 2026
17:00
L3

Truth, proof, and AI: AI and the V challenge

Hugh Woodin
(Harvard)
Abstract
AI systems have become very good at proving theorems with recent successes far beyond what was envisioned as possible even just 2 years ago. This in the last month has included theorems even in Set Theory (where the training data is far more limited). But the Universe of Sets, V, presents a unique challenge for AI.
Distinguishability of causal structures under latent confounding and selection
Carey, R Ansanelli, M Wolfe, E Evans, R Journal of Causal Inference volume 14 issue 1 20250067 (01 Jan 2026) doi:10.1515/jci-2025-0067
Subscribe to