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 from KAUST, where I worked under the supervision of Peter Richtárik on optimization theory and its applications in machine learning. In 2020, I also interned at Google Brain. 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.
My interests and hobbies tend to change every couple of years or so. Right now, I’m studying electronic music production using Ableton Live, and I hope to release some music online in the future. Feel free to shoot me an email if you want to chat in person about research or music, go to a museum, or maybe just take a walk in London!
Note that I’m currently not taking any interns.
PhD in Computer Science, 2021
KAUST
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