I’m a PhD student at KAUST, where I work with Peter Richtarik on Optimization and its applications to Machine Learning. Prior to this, I was a research intern at Université Grenoble Alpes, working on Distributed Optimization with F. Iutzeler and J. Malick. This internship allowed me to obtain my double degree MSc diploma from École normale supérieure Paris-Saclay and Paris-Dauphine. I obtained my BSc from Moscow Institute of Physics and Technology, where I was having a lot of fun with quantum mechanics and various branches of classical physics. My bachelor’s thesis, however, was devoted to statistical learning theory.
My hobbies include bouldering, competitive programming and messing around with computers.
PhD in Computer Science
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
Sep 10, 2017, Workshop on Decentralized Machine Learning, Optimization and Privacy