Please note that the list below only shows forthcoming events, which may not include regular events that have not yet been entered for the forthcoming term. Please see the past events page for a list of all seminar series that the department has on offer.

 

Wed, 28 Sep 2022 09:00 -
Wed, 30 Jun 2027 17:00
Mathematical Institute

Cascading Principles - a major mathematically inspired art exhibition by Conrad Shawcross

Further Information

Oxford Mathematics is delighted to be hosting one of the largest exhibitions by the artist Conrad Shawcross in the UK. The exhibition, Cascading Principles: Expansions within Geometry, Philosophy, and Interference, brings together over 40 of Conrad's mathematically inspired works from the past seventeen years. Rather than in a gallery, they are placed in the working environment of the practitioners of the subject that inspired them, namely mathematics.

Conrad Shawcross models scientific thought and reasoning within his practice. Drawn to mathematics, physics, and philosophy from the early stages of his artistic career, Shawcross combines these disciplines in his work. He places a strong emphasis on the nature of matter, and on the relativity of gravity, entropy, and the nature of time itself. Like a scientist working in a laboratory, he conceives each work as an experiment. Modularity is key to his process and many works are built from a single essential unit or building block. If an atom or electron is a basic unit for physicists, his unit is the tetrahedron.

Unlike other shapes, a tetrahedron cannot tessellate with itself. It cannot cover or form a surface through its repetition - one tetrahedron is unable to fit together with others of its kind. Whilst other shapes can sit alongside one another without creating gaps or overlapping, tetrahedrons cannot resolve in this way. Shawcross’ Schisms are a perfect demonstration of this failure to tessellate. They bring twenty tetrahedrons together to form a sphere, which results in a deep crack and ruptures that permeate its surface. This failure of its geometry means that it cannot succeed as a scientific model, but it is this very failure that allows it to succeed as an art work, the cracks full of broad and potent implications.

The show includes all Conrad's manifold geometric and philosophical investigations into this curious, four-surfaced, triangular prism to date. These include the Paradigms, the Lattice Cubes, the Fractures, the Schisms, and The Dappled Light of the Sun. The latter was first shown in the courtyard of the Royal Academy and subsequently travelled all across the world, from east to west, China to America.

The show also contains the four Beacons. Activated like a stained-glass window by the light of the sun, they are composed of two coloured, perforated disks moving in counter rotation to one another, patterning the light through the non-repeating pattern of holes, and conveying a message using semaphoric language. These works are studies for the Ramsgate Beacons commission in Kent, as part of Pioneering Places East Kent.

The exhibition Cascading Principles: Expansions within Geometry, Philosophy, and Interference is curated by Fatoş Üstek, and is organised in collaboration with Oxford Mathematics. 

The exhibition is open 9am-5pm, Monday to Friday. Some of the works are in the private part of the building and we shall be arranging regular tours of that area. If you wish to join a tour please email @email.

The exhibition runs until 30 June 2026. You can see and find out more here.

Watch the four public talks centred around the exhibition (featuring Conrad himself).

The exhibition is generously supported by our longstanding partner XTX Markets.

Images clockwise from top left of Schism, Fracture, Paradigm and Axiom

Schism Fracture

Axiom Paradigm

Mon, 08 Jun 2026 09:00 -
Thu, 31 Dec 2026 17:00
Mathematical Institute

Paul Ouwerkerk - The Oxford Variations

Further Information

We are delighted to introduce our latest exhibition in the Andrew Wiles Building. Visual artist Paul Ouwerkerk has created 30 new paintings where he plays with the perspective plane in paintings that are generated from self-composed number sequences. The handcrafted canvases are the result of a process in which the artist, after defining a rigid grid as starting point, leaves space for intuition and industrious manual application to elaborate towards the final result.

Visually these paintings can often be interpreted as unfolded polyhedra, dissolving into mathematical landscape perspectives. The rule-based compositions are sometimes derailed purposefully during the painting process, as if to ‘break-the-code’. Painting techniques and materials play a pivotal role in the creation of these works and the materialisation of these abstract illusions.

Paul Ouwerkerk lives and works in Amsterdam. He has a background in art, photography and design. His previous work experience is intermingled with the world of architecture, urbanism and landscape design. Since 2017 he has been painting his abstract ‘Dynamic Geometry’ series.

9 a.m. - 5 p.m. Monday to Friday.

Image of one of the works
 

Tue, 21 Jul 2026

16:00 - 17:00
L5

How hypoxic memory shapes tumor invasion under cyclic hypoxia

Dr Gopinath Sadhu
(Department of Bioengineering, Indian Institute of Science)
Abstract

Tumor growth and angiogenesis drive complex spatiotemporal variation in micro-environmental oxygen levels. Previous experimental studies have observed that cancer cells exposed to chronic hypoxia retained a phenotype characterized by enhanced migration and reduced proliferation, even after being shifted to normoxic conditions, a phenomenon which we refer to as hypoxic memory. However, because dynamic hypoxia and related hypoxic memory effects are challenging to measure experimentally, our understanding of their implications in tumor invasion is quite limited. Here, we propose a novel phenotype-structured partial differential equation modeling framework to elucidate the effects of hypoxic memory on tumor invasion along one spatial dimension in a cyclically varying hypoxic environment. We incorporated hypoxic memory by including time-dependent changes in hypoxic-to-normoxic phenotype transition rate upon continued exposure to hypoxic conditions. Our model simulations demonstrate that hypoxic memory significantly enhances tumor invasion without necessarily reducing tumor volume. This enhanced invasion was sensitive to the induction rate of hypoxic memory, but not the dilution rate. Further, shorter periods of cyclic hypoxia contributed to a more heterogeneous profile of hypoxic memory in the population, with the tumor front dominated by hypoxic cells that exhibited stronger memory. Overall, our model highlighted the complex interplay between hypoxic memory and cyclic hypoxia in shaping heterogeneous tumor invasion patterns.

Keywords: Tumor invasion, cyclic hypoxia, hypoxic memory, phenotype-structured model

Wed, 12 Aug 2026
17:00
Lecture Theatre 1

Count me in: how mathematics explains music - Sarah Hart

Sarah Hart
Further Information

The great mathematician Gottfried Leibniz said that music is the pleasure the human mind experiences from counting without being aware that it is counting. We love it, in other words, because it is the mathematics of the subconscious.

In this Oxford Mathematics Vicky Neale Public Lecture, we’ll bring that mathematics into the open and see how mathematical ideas are woven into every aspect of music. We’ll explore the beautiful number patterns underlying harmony, the geometrical symmetries of melody, and the 2000-year-old algorithm that predicts the rhythms most favoured by musicians across the world.

Sarah Hart is a mathematician and author. She is Professor Emerita of Mathematics at Birkbeck College (University of London), and Fellow of Gresham College, London. Her first book, Once Upon a Prime: The Wondrous Connections Between Mathematics and Literature won the Mathematical Association of America’s Euler Book Prize. Her forthcoming book on the resonances between mathematics and music will be published in 2027.

Please email @email to register to attend in person.

The lecture will be broadcast on the Oxford Mathematics YouTube Channel on Wednesday 9 September at 5-6 pm and any time after (no need to register for the online version).

The Oxford Mathematics Vicky Neale Public Lectures are a partnership between the Clay Mathematics Institute, PROMYS and Oxford Mathematics. The Oxford Mathematics Public Lectures are generously supported by XTX Markets.

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Thu, 15 Oct 2026

14:00 - 15:00
(This talk is hosted by Rutherford Appleton Laboratory)

Optimizing over graphs: Challenges, Formulations, and Applications

Ruth Misener
(Imperial College London)
Abstract

Ruth Misener will talk about: 'Optimizing over graphs: Challenges, Formulations, and Applications'

Applications involving optimization over graphs include molecular design, graph neural network verification, neural architecture search, etc. This talk discusses formulating graph spaces using mixed-integer optimization and incorporating application-specific constraints. We discuss computational challenges with these mixed-integer optimization formulations and zoom in on the practical implications for these applications. We mention what has been done (by both ourselves and others) and what other research still needs to be done.

Co-authors: Shiqiang Zhang, Yilin Xie, Christopher Hojny, Juan Campos, Jixiang Qing, Christian Feldmann, David Walz, Frederik Sandfort, Miriam Mathea, Calvin Tsay

 

This talk is hosted by Rutherford Appleton Laboratory, Harwell Campus

Thu, 22 Oct 2026

12:00 - 13:00
L3

TITLE TBC

Daniele Avitabile
( Amsterdam Center for Dynamics and Computation, Vrije Universiteit Amsterdam)
Thu, 05 Nov 2026
14:00

TBA

Sara Shashaani
(North Carolina State University)
Abstract

TBA; the speaker is visiting during term and this date can be flexible. 

Thu, 05 Nov 2026
14:00

TBA

Sara Shashaani
(North Carolina State University)
Abstract

TBA; the speaker is visiting during term and this date can be flexible. 

Thu, 12 Nov 2026

14:00 - 15:00
Lecture Room 3

TBA

Dr Peter Braam
(Department of Physics, Oxford University)
Abstract

TBA

Thu, 19 Nov 2026

12:00 - 12:30
Lecture Room 4, Mathematical Institute

TBA

Christian Alber
(University of Heidelberg)
Abstract

TBA

Thu, 19 Nov 2026

14:00 - 15:00
Lecture Room 3

TBA

Prof Rob Scheichl
(University of Heidelberg)
Abstract

TBA

Fri, 27 Nov 2026

11:00 - 12:00
L4

To be announced

Prof Calum Gabbutt
(Department of Immunology and Inflammation Imperial College London)
Mon, 30 Nov 2026

14:00 - 15:00
Lecture Room 3

Physics-informed deep generative models: Applications to computational sensing

Professor Marcelo Pereyra
(Heriot-Watt University, Edinburgh)
Abstract

Professor Pereyra will talk about; 'Physics-informed deep generative models: Applications to computational sensing'

This talk introduces a novel mathematical and computational framework for constructing high-dimensional Bayesian inversion methods that leverage state-of-the-art generative denoising diffusion models as highly informative priors. A central innovation is the construction of physics-informed generative models using Langevin diffusion processes and Markov chain Monte Carlo (MCMC) sampling techniques to develop stochastic neural network architectures capable of near-exact sampling. The obtained networks are modular and composed of interpretable layers that are directly related to statistical image priors and data likelihoods derived from forward observation models. The layers encoding the data likelihood function are designed for flexibility, enabling scene and instrument model parameters to be specified at inference time and seamlessly integrated with pre-trained foundational generative priors. To achieve high computational efficiency, we employ adversarial model distillation, which yields excellent sampling performance with as few as four Markov chain Monte Carlo steps, even in problems exceeding one million dimensions. Our approach is validated through non-asymptotic convergence analysis and extensive numerical experiments in computational image and video restoration. We conclude by discussing unsupervised training strategies that allow the models to be fine-tuned directly from measurement data, thereby bypassing the need for clean reference data.

The talk is based on recent work in physics-informed generative AI for Bayesian imaging: https://arxiv.org/abs/2503.12615 (ICCV 2025), which uses a distilled latent Stable Diffusion XL model trained on five billion clean images as a zero-shot prior, and  https://arxiv.org/pdf/2507.02686, which integrates pixel-based diffusion models with deep unfolding and diffusion distillation (TMLR 2025). The extension to video restoration is presented in https://arxiv.org/abs/2510.01339 (ICLR 2025). Our approach to unsupervised training of diffusion models is introduced in https://arxiv.org/abs/2510.11964.

 

 

Further Information

Biosketch:
Marcelo Pereyra is a Professor in Statistics and UKRI EPSRC Open Research Fellow at the School of Mathematical and Computer Sciences of Heriot-Watt University & Maxwell Institute for Mathematical Sciences. He leads pioneering research advancing the statistical foundations of quantitative and scientific imaging, shaping how image data are used as rigorous quantitative evidence, and forging deep connections between statistical, variational, and machine learning approaches to imaging. His leadership and contributions have been recognized through multiple prestigious awards, most recently a five-year fulltime EPSRC Open Fellowship to drive the next generation of breakthroughs in statistical imaging sciences based on physics-informed generative artificial intelligence. Prof. Pereyra will join Imperial College London in 2027 as Chair in Statistical Machine Learning in the Department of Mathematics.

Prof. Pereyra received the SIAM SIGEST Award in Imaging Sciences for his contributions to Bayesian imaging in 2022. He has held Invited Professor positions at Institut Henri Poincaré (Paris, 2019), Université Paris Cité (2022), Ecole Normale Superiéure Lyon (2023), Université Paris Cité (2024) and Centralle Lille (2025). He is also the recipient of a UKRI EPSRC Open Research Fellowship (2025), a Marie Curie Intra-European Fellowship for Career Development (2013), a Brunel Postdoctoral Research Fellowship in Statistics (2012), a Postdoctoral Research Fellowship from French Ministry of Defence (2012), and a Leopold Escande PhD Thesis award from the University of Toulouse (2012).

Mon, 30 Nov 2026
14:15
L4

TBA

Paul Schwahn
((Mathematical Institute University of Oxford))
Fri, 04 Dec 2026

11:00 - 12:00
L4

To be announced

Dr Jochen Kursawe
(School of Mathematics and Statistics University of St Andrews)
Fri, 04 Dec 2026

11:00 - 12:00
L4

To be announced

Dr Jochen Kursawe
(School of Mathematics and Statistics University of St Andrews)