The main theme of my current research is to understand why neural networks are able to generalise well from examples in practice, when classical learning theory would predict that they cannot. My approach is to use concepts and tools from statistical physics to build models for the key drivers of generalisation of neural networks. I am also interested in using machine learning as a tool to handle the vast data sets generated by large-scale experiments, in particular in neuroscience; and as a source of novel theoretical ideas, e.g. for the thermodynamics of computation.
- 2019/12 It’s NeurIPS time:
- 2019/10 One of the things that’s holding back a good theoretical understanding of deep learning is our lack of good models for structured data sets. I had the opportunity to present our proposal with Marc Mézard, Florent Krzakala and Lenka Zdeborová at the Deep Learning Workshop in Princeton (preprint here)
- 2019/06 I had the chance to talk about our recent work on the dynamics and the performance of neural networks at the “Theoretical Physics For Deep Learning” workshop at this year’s ICML. Here’s a link to the video:
- Watch the video abstract for our recent article in the New Journal of Physics on the thermodynamic efficiency of learning a rule with neural networks:
Click to play!
- Or have a look at a short news article on Phys.org about our PRL on the stochastic thermodynamics of Learning.
- since 11/2019: Post-doctoral researcher in the group of Florent Krzakala at Ecole normale supérieure
- 03/2019 – 04/2019: Visiting researcher at the Kavli Institute for Theoretical Physics (KITP), participating in the program Machine Learning for Quantum Many-Body Physics
- 02/2018 – 05/2018: Visiting researcher with Lenka Zdeborová at the Rhodes Information Initiative at Duke University, NC, USA.
- 11/2017-10/2019: Postdoctoral research associate with Dr. Lenka Zdeborová at the Institut de Physique Théorique in Paris.
- 2014-2017: PhD student under the supervision of Prof. Udo Seifert at the II. Institut für Theoretische Physik, University of Stuttgart.
- 2010-2014: B.A., M.Sci. in Experimental and Theoretical Physics, University of Cambridge, UK.
- 2009: Abitur, Schule Schloss Salem, Germany.