Mathematical Foundations of AI:
The Erlangen Hub Conference 2026
Artificial intelligence has achieved remarkable success, yet we still lack a rigorous mathematical understanding of why modern AI systems work, and when they fail. Closing this gap is one of the defining scientific challenges at the intersection of mathematics and computer science. The Mathematical Foundations of AI: Erlangen Hub Conference 2026 will bring together leading researchers in geometry, algebra, topology, probability, dynamical systems, machine learning and related fields for an interdisciplinary exploration of the mathematical principles underlying modern AI. The conference aims to foster new connections across disciplines and advance the mathematical foundations needed to build more reliable, robust, and trustworthy AI systems.
Confirmed speakers:
- Erik Bekkers, Associate Professor, University of Amsterdam (AMLab, UvA)
- Michael Bronstein, DeepMind Professor of AI and Erlangen AI Hub Director, University of Oxford
- Rebekka Burkholz, Faculty in Machine Learning, CISPA Helmholtz Center for Information Security
- Kevin Buzzard, Professor of Mathematics, Imperial College London
- Coralia Cartis, Professor of Numerical Optimization, Mathematical Institute, University of Oxford
- Oliver Clarke, Erlangen AI Hub PDRA, Durham University
- Holly Francois, AI Principal Online Safety Technology, Ofcom
- Peter Grindrod, Professor of Mathematics, Mathematical Institute, University of Oxford
- Maz Hardey, Professor, Durham University Business School
- Kathryn Hess, Professor of Mathematics and Life Sciences, EPFL
- Stefanie Jegelka, Visiting Professor at MIT EECS, and a Humboldt Professor at TU Munich
- Roland Kwitt, Full Professor of Machine Learning at University of Salzburg
- Richard Lane, Principal Data Scientist, QinetiQ
- Eng-Jon Ong, Erlangen AI Hub PDRA, Queen Mary University of London
- Yue Ren, Associate Professor, Durham University
- Tatiana Shavrina, Research Scientist Manager, Meta
- Suvrit Sra, Associate Professor of EECS and Professor for Resource Aware Machine Learning at TU Munich
- Marika Taylor, Head of College of Engineering and Physical Sciences and Pro Vice Chancellor
- Qiquan Wang, Erlangen AI Hub PDRA, Queen Mary University of London
- George Williamson, CEO, The Alan Turing Institute
- Arne Wolf, PhD student, Imperial College London
- Ka Man (Ambrose) Yim, Erlangen AI Hub PDRA, University of Oxford