School of Mathematics

Please visit the webpage for further information.

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Mathematical physics is an interdisciplinary topic at the crossroads of pure mathematics and theoretical physics. Theoretical physics has been a constant source of inspiration for mathematics over the last decades, pointing to underlying connections between mathematical entities that otherwise would have taken much longer to uncover and guiding many astounding recent developments in diverse topics. Studying properties and applying new mathematical structures is essential to understanding the nature of string theory and quantum gravity. Quoting EPSRC, “The overall quality of research in mathematical physics is very high, and the cross-fertilization between mathematics and physics has been hugely beneficial to both subjects.”

In this workshop, we will have talks and discussions where mathematical rigor and physical intuition merge naturally. The workshop’s primary focus will be on 9 research teams, their chosen areas of study and projects, and interactions between these research teams and other participants.

The main goals of our workshop are twofold: 

Research: make progress on open problems of high interest in diverse areas of mathematical physics.

Networking: bring senior and junior female mathematical physicists together to attack research projects on topics of common interest, thereby expanding the mentorship networks of women in the field.

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The workshop will cover recent progress in the following broadly defined but closely intertwined topics.

 Cohomology and modular representation theory of finite groups

 Hochschild cohomology

 Algebraic topology

Tensor-triangular geometry

 Finite tensor categories

This workshop centers on the representation theory of finite groups and closely related structures. Some areas of the field are well-established and classical, while others include subjects born only recently. All are being rapidly evolving and actively explored by diverse research communities. These communities, often located in different regions around the world, offer distinct perspectives and approaches to the subject. A central aim of the workshop is to bring together experts and early-career researchers from these various groups, providing a forum to share progress, exchange ideas, and ask each other questions.  The workshop also offers an opportunity to celebrate Dave Benson’s 70th birthday, which falls in December 2025. Dave’s work has had a profound influence on many of the themes represented at this meeting, and we look forward to honoring his contributions during the event.

Event Website

Payment to be made after you have been accepted as a participant only. Payment alone does not guarantee a place at this workshop.

Payment to be made after you have been accepted as a participant only. Payment alone does not guarantee a place at this workshop.

The String Math conference has been running annually since 2011, bringing together mathematicians and physicists who work at the interface between string theory, quantum field theory, and mathematics.

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Over the past decade, there has been an explosion of interest in the development and application of Approximate Bayesian Inference (ABI) methods across the statistical and machine learning (ML) communities. The rapid pace of progress in ABI has made it increasingly difficult to track development in the field, often leading to unnecessary duplication of methods and results. Without a concerted effort, statistical and ML researchers working on ABI risk drifting apart, to the detriment of both communities.

An event to bring users of HiGHS and JuMP together.

Event Website

Registration and payment on this page are by invitation only. Please proceed only if you have received a registration invitation from Alex Liu. If you have not received an invitation, please contact Alex Liu before registering.

Preconditioning Techniques for Scientific and Industrial Applications, “Preconditioning 2026”, is part of a series of international conferences focusing on preconditioning techniques for sparse and structured matrix computations. The key focus of the conference is meeting timely challenges in mathematical computation with novel, rigorous, and creative iterative linear algebra approaches for scientific applications. Key current areas of active research include theoretical and practical questions related to randomized preconditioning, probabilistic interpretations, the design of efficient tensor-based methods, preconditioners tailored to modern HPC architectures, and physics-based preconditioners for solving extremely large-scale systems in modelling and simulations, to name a few. The meeting brings together researchers developing new methods and tools, along with scientists and engineers addressing complex issues of applying preconditioning techniques in large-scale and industrial settings. 

Please visit the conference website for further details: Website Link

If you are a plenary speaker or a member of the organizing committee, please do not register with this link. You should have received an invitation letter from Alex Liu (ICMS). Please email Alex Liu if you have not received it.

Please visit conference webpage for more information before you register.

Registration fee:

Early bird (until March 16^th): PhD student-£250; Standard-£325.

Standard fee (until April 30^th): PhD student-£300; Standard-£375.

For any queries, please contact us

Onsite catering and social events (welcome reception & conference dinner) are included in the registration fee. Attendees may choose not to attend the conference dinner however no discount or refund will be given. If you cannot attend the conference dinner on Wednesday 10 June, please notify Alex Liu as soon as possible.