I am a first-year PhD student at the Center for Data Science at NYU and a DeepMind fellow, advised by Professors Andrew Gordon Wilson and Julia Kempe. I am currently interested in understanding and quantifying the generalization of deep learning models. More broadly, my research interests include the mathematics of deep learning, probabilistic generative models, Bayesian deep learning and statistical learning theory.
Prior to NYU, I obtained a master’s degree in applied mathematics from Polytechnique Montreal. I was fortunate to work there with Professors Andrea Lodi and Dominique Orban to design stochastic first- and second-order algorithms with compelling theoretical and empirical properties for machine learning and large-scale optimization. I also hold an engineering degree in general engineering and applied mathematics from CentraleSupélec.
You can contact me at email@example.com