Mon, 08 Dec 2025

16:30 - 17:30
L5

TBA

Shengwen Wang
(Queen Mary University of London)
Abstract

TBA

Thu, 20 Nov 2025

12:00 - 13:00
C5

TBA

Ewelina Zatorska
(University of Warwick)
Abstract

TBC

Computing multiple solutions of systems of nonlinear equations with deflation
Farrell, P
Tue, 27 Jan 2026
12:30

TBA

Jasper Knox
Abstract

WCMB, University of Oxford and University of Bristol

Tue, 24 Feb 2026
12:30

TBA

Emma Bouckley
Abstract

University of Cambridge

Her-AI is a new after-school outreach initiative supported by Oxford University and based in South London. It is designed to inspire and equip girls in grades 9-11 from diverse backgrounds to explore pathways into artificial intelligence (AI) and computer science. The programme combines hands-on workshops, mentorship from Oxford students and researchers, and immersive experience days in Oxford.

Tue, 25 Nov 2025
16:00
L6

Random matrices & operator algebras

Jennifer Pi
((Mathematical Institute University of Oxford))
Abstract

I'll discuss some of the history of the use of random matrices for studying the structure of operator algebras, starting with Voiculescu's notion free independence. We'll see that the original notions of convergence of random matrix models to certain infinite-dimensional operators is actually fairly weak, and discuss the more recent "strong convergence" phenomenon and its applications to C*-algebras. Finally, I'll touch upon some ongoing work, joint with A. Shiner and S. White, for continuing to use random matrix tools to prove structural properties of C*-algebras.

Tue, 18 Nov 2025
16:00
L6

Matrix-product state skeletons in Onsager-integrable quantum chains

Imogen Camp
(Department of Physics)
Abstract

Matrix-product state (MPS) skeletons are connected networks of local one-dimensional quantum lattice models with ground states admitting an MPS representation with finite bond dimension. In this talk, I will discuss how such skeletons underlie certain families of models obeying the Onsager algebra, and how these simple ground states provide a route to explicitly computing correlation functions.

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