I’m a research scientist at Samsung AI Center in Cambridge, UK. I like using mathematics to make things work in practice, especially in deep learning applications. Beside doing research, I serve as an Action Editor for TMLR, tweet about interesting papers, and give talks about my research. In 2023, I was lucky to receive the Outsdanding Paper Award together with Aaron Defazio for our work on adaptive methods.
Before joining Samsung, I did a postdoc at Inria Sierra with Alexandre d’Aspremont and Francis Bach. I received my PhD in computer science from KAUST, where I worked under the supervision of Peter Richtárik on optimization theory and its applications in machine learning. In 2020, I interned at Google Brain hosted by Nicolas Le Roux and Courtney Paquette. Prior to that, I obtained my double degree MSc diploma from École Normale Supérieure Paris-Saclay and Paris-Dauphine, and a BSc from Moscow Institute of Physics and Technology.
Note that I’m currently not taking any interns.
PhD in Computer Science, 2021
MSc in Data Science, 2017
École normale supérieure Paris-Saclay and Paris-Dauphine
BSc in Computer Science and Physics, 2016
Moscow Institute of Physics and Technology
I was informed that I got selected as an Expert Reviewer for Transactions on Machine Learning Research (TMLR). As the email “Expert Reviewers are reviewers for TMLR who have done exemplary work in evaluating TMLR submissions. They have stood out in various ways, including by writing detailed reviews, engaging deeply with authors and performing their work in a timely fashion.”
The full list of TMLR Expert Reviewers is available here.