Machine Learning in Mathematics & Theoretical Physics

ML in MTP Conference Photo



Programme description

Machine Learning in Mathematics & Theoretical Physics is an intensive one-week research school primarily designed for PhD students, with master students and more senior researchers very welcome to apply as well. The program will be held between 17-21 July 2023 at the University of Oxford and hosted by the Department of Physics.

Topics will include:

  • A quick review of ML basics
  • Knot Theory with Reinforcement Learning
  • String Theory Compactifications
  • Calabi-Yau Manifolds and Ricci-flat Metrics
  • Heuristic Search Techniques: Genetic Algorithms and Quantum Annealing
  • Classification of Fano Varieties
  • Lattice Field Theories and Generative Models

Programme Details

Dates: 17-21 July 2023

Venue: Martin Wood Lecture Theatre, Clarendon Laboratory, Oxford OX1 3PU


Program Lecturers: Steve Abel (Durham University), Lara Anderson (Virginia Tech), Miranda Cheng (Academia Sinica Taiwan, Amsterdam University), James Gray (Virginia Tech), Andras Juhasz (Oxford University),  Alexander Kasprzyk (Nottingham University), Magdalena Larfors (Uppsala University), Fabian Ruehle (Northeastern University)

Tutors: Callum Brodie (Virginia Tech), Thomas Harvey (Oxford University), Elli Heyes (City University London), Edward Hirst (Queen Mary University London), Luca Nutricati (Durham University), Yidi Qi (Northeastern University), Sara Veneziale (Imperial College London)


Organisers: Andrei Constantin (University of Oxford), Yang-Hui He (London Institute for Mathematical Sciences)

Administration Contact: Michelle Jose (Rudolf Peierls Centre for Theoretical Physics, University of Oxford)


Application procedure:

To attend the five day programme, you should first make an application here. Numbers will be limited and those interested are advised to make an early application.

Application deadline: Wednesday, 31st May 2023. We will inform you about the outcome of your application shortly after the deadline. Students are asked to provide a letter of recommendation, e.g. from their PhD advisor. Any letters of recommendation should be emailed to with the applicant's name clearly indicated in the subject line by 31st May 2023. Postdoctoral and more senior applicants are not required to provide letters of recommendation. 

Fees (payable upon confirmation of successful application): Research students £150, Early career researchers £250. There will be no charge for subsistence costs. All other participants (e.g. those working in industry) will be charged a registration fee of £250 and will be asked to make their own accommodation arrangements. 

All UK-based participants must pay their own travel costs.  For overseas-based participants, support will be available to contribute towards travel costs.


If you have questions regarding the programme, please send an email to: