Physics-AI fellow at the University of Cambridge using physics to understand the foundations of AI. Prev: EPFL, AWS AI. https://alesfav.github.io/

PhD student (EPFL, Switzerland), working on the theory of deep learning and statistical physics of computation. https://yatindandi.github.io/

Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn

Researcher at CNRS & ENS working on the crossroads between machine learning and statistical physics.

Prof in Mathematical Physics at UniBo. Statistical physicist interested in disorder. https://gsicuro.github.io/

Theoretical and computational physicist working on complex systems and machine learning. Professor at Sapienza University of Rome. Marathon and trail runner.

Researcher in statistical physics and machine learning @UCL Gatsby | Previously @EPFL | Physics PhD @UnivParisSaclay | BCG The Future Makers | ASP XI https://antonioscl.github.io/

PhD Candidate @ EPFL

Researcher in machine learning

Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.

AI @ OpenAI, Tesla, Stanford

Assistant Professor Chalmers and Göteborg University 🌱 ML + CogSci + StatPhys 🔎 stefsmlab.github.io 🌐

Simons Junior Fellow at CUNY Graduate Center & Princeton University

Statistical mechanic working on generative models for biophysics and beyond. Assistant professor at Stanford. https://statmech.stanford.edu

Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL

Theory of neural networks at SISSA in Trieste, Italy

Computational Quantum Physicist - EPFL Lausanne, Switzerland

Theoretical Physicist at Ecole Normale Supérieure, Paris France.