Published numerous papers including but not limited to 'Feature Learning in L2-regularized DNNs' (NeurIPS 2022), 'Neural Tangent Kernel: Convergence and Generalization in Neural Networks' (STOC 2021), 'Kernel Alignment Risk Estimator: Risk Prediction from Training Data' (Advances in Neural Information Processing Systems 33, 2020). Also contributed to economics with 'Insider Trading with Penalties' published in the Journal of Economic Theory, 2022.
Research Experience
Presented research findings at various academic conferences such as NEOMA (2022), ISFA Lyon 1 (2022), SKMA Business School (2023), Apéro DeFi @ Palais Brongniart, Paris (2023), and the 2nd International Fintech Conference at Cardiff Business School (2023), focusing on security and efficiency in DeFi lending.
Background
Research Interests: Machine Learning, Economics/Blockchain, Mathematical Physics, Random Matrices. Currently an Associate Professor at I.S.F.A., University Claude Bernard Lyon 1.