I am an ETH-FDS postdoctoral fellow at ETH Zurich working with Niao He within the Optimization & Decision Intelligence Group in the department of computer science. My research interests include stochastic optimization for machine learning and reinforcement learning.
I obtained my PhD in Applied Mathematics and Computer Science from Institut Polytechnique de Paris at Télécom Paris in the S2A (Signal, Statistics and Learning) team under the supervision of Pascal Bianchi and Walid Hachem. I received my engineering Master’s degree in Applied Mathematics and Computer Science from Télécom Paris and a Master’s degree in Data Science from Université Paris Saclay.
You can find more information about me on my CV.
PhD in Applied Mathematics and CS, 2021
Institut Polytechnique de Paris (Télécom Paris)
MSc in Data Science (M2), 2018
Université Paris Saclay
MSc in Applied Mathematics and CS, 2018
I have been a referee for:
Journals: Journal of Machine Learning Research (JMLR), Journal of Optimization Theory and Applications (JOTA), Systems & Control Letters, Mathematics of Control, Signals, and Systems (MCSS), IEEE Transactions on Image Processing.
Conferences: International Conference on Machine Learning (ICML 2022), Conference on Learning Theory (COLT 2022), International Conference on Artificial Intelligence and Statistics (AISTATS 2022, top 10% reviewer).
I was a Teaching Assistant at Télécom Paris between 2018 and 2021. I was in particular involved in the following courses (more than 150 hours):