I’m a PhD candidate supervised by Peter Richtárik, working on Optimization and its applications to Machine Learning. Prior to this, I was a research intern at Université Grenoble Alpes, where I worked 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 and modern physics. My bachelor’s thesis was devoted to statistical learning theory, and I went to Paris primarily because of this, but later in an email conversation Olivier Bousquet convinced me to change my field and work on developing new algorithms.
My hobbies include squash, bouldering and competitive programming.
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