Prob_AI Winter School
Monday 5 January 2026, 12:00pm to Thursday 8 January 2026, 1:00pm
Venue
Warwick UniversityOpen to
PublicRegistration
Free to attend - registration requiredRegistration Info
Registration is now closed
Ticket Price
Test Event April 2026Event Details
Prob_AI Winter School - Mathematical Foundations of Probabilistic AI
Event Overview
The Prob_AI Hub is running the first Mathematical Foundations of Probabilistic AI Winter School from 5th to 8th January 2026, at the University of Warwick. This School is targeted at PhD students, academic researchers, and professionals; and features world-leading researchers from academia and industry speaking about recent advances in AI and machine learning. The school has a particular focus on the mathematical aspects and underpinnings of AI.
Topics
- Diffusion Generative AI
- Large Language Models
- Learning in Function Spaces
- Normalising Flows & Optimal Transport
- Uncertainty Quantification and Bayesian Deep Learning
- Ethics of AI
Speakers
Currently, our confirmed speakers are:
- Arnaud Doucet, Google DeepMind
- Marie-Therese Wolfram, University of Warwick
- Desi Ivanova, University of Oxford
- Jack Stilgoe, University College London
- Domenec Ruiz-Balet, Université Paris Dauphine
- James Hensman, Microsoft Research
- Yingzhen Li, University College London
- Nikola Kovachki, NVIDIA Research
Fees/Funding
The winter school is free to attend, but we expect attendees to cover their accommodation and travel costs (for example, with funding from their institution or employer to pay for this). We realise that for a small number of potential attendees, getting funding to cover the accommodation/travel costs might be a barrier to participation (for example, if their institution has a funding restriction). We also recognise that some attendees may have additional costs for attending due to disability or caring responsibilities.
We have created an ‘Access Fund’ to help with these situations. If participation costs might prevent you from attending the school, you can apply for Access Funding. This funding is intended for students from under-resourced and under-represented communities, and to support those with additional access costs due to disability or caring responsibilities. Please note that we can offer only a small amount of funding, however, we are actively working to secure additional funding to expand opportunities. The Access Fund is only available to people based in the UK.
Venue
The winter school will be held at the University of Warwick. This is hosted by the Department of Statistics, and it is expected that talks will take place in the Zeeman Building. Some accommodation for attendees will be available on campus at the University's conference facility (any available rooms will be on a first-come-first-served basis). There is also a wide range of other options, suitable for different budgets, nearby. Further details will be provided in due course.
Application
Places are limited and we strongly encourage early application to have the best likelihood of getting a place. We will make our first round of decisions on applications by the end of July. To be considered at this round, applications must be received by Monday 21st July 2025. If you need to apply to the Access Fund, then this can be done as part of the application process.
The Winter School is open to anyone worldwide. However, priority will be given to applicants based in the UK (as the Prob_AI Hub is UK funded).
Applications for this event have now closed
Organisers
The winter school organising committee is as follows:
Paul Fearnhead (Lancaster University), Paul Jenkins (University of Warwick), Matthew Thorpe (University of Warwick), Jonas Latz (University of Manchester), Katerina Karoni (University of Bristol), Andreas Makris (Lancaster University), Zhengang Zhong (University of Warwick), Craig Walker (Prob_AI Hub), Shelley Watson (Prob_AI Hub)
If you have any questions, please contact: probaihub@lancaster.ac.uk
Sponsors
The Prob_AI Hub acknowledges the support of EPSRC (EP/Y028783/1).
Sponsors will be added in due course.
Speakers
Google DeepMind
Arnaud Doucet received his PhD in Information Engineering from University Paris-XI in 1997. Ever since, he has held faculty positions at the University of Melbourne, the University of Cambridge, the University of British Columbia and the Institute of Statistical Mathematics in Tokyo. Until 2024, he was a Chair Professor in the Department of Statistics of Oxford University. He is now a Senior Staff Research Scientist at Google DeepMind. He was an Institute Mathematical Statistics Medallion Lectur
Desi Ivanova
University of Oxford
Jack Stilgoe
UCL
University of Warwick
Marie-Therese Wolfram is currently a full professor at the Warwick Mathematics Institute. Before that she held research positions at the University of Vienna, the Radon Institute of Computational and Applied Mathematics in Linz and the University of Cambridge. In 2023 Marie-Therese Wolfram received the London Mathematical Society Whitehead prize for 'for her groundbreaking contributions to applied partial differential equations, mathematical modelling in socio-economic applications and the life
Nikola Kovachki
Nvidia
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Contact Details
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