Welcome! I am a postdoc at the Department of Electrical Engineering and Computer Science at University of California at Berkeley working with Michael Jordan.
Before Berkeley I completed my PhD at the Department of Electrical Engineering and Computer Science at Massachusetts Institute of Technology (MIT) where I was very fortunate to be advised by Constantinos Daskalakis. My thesis can be found here.
My research interests include: Theoretical Machine Learning, Statistics, Optimization, Computational Complexity, Algorithmic Game Theory, and Sublinear Algorithms.
During the Summer 2018 I joined as an intern the Scalable Machine Learning at Yahoo! Research at New York where I worked with Dimitris Fotakis, Robert Busa-Fukete and Balázs Szörényi on Learning and Testing Ranking Distributions.
During the Summer 2017 I joined as an intern the Algorithms and Optimization Group at Google Research at New York where I worked with Alessandro Epasto, Mohammad Mahdian and Vahab Mirrokni on Smooth Maximization with applications to Differential Privacy with applications to Mechanism Design.
From Fall 2018 to Spring 2020 my research was supported by Google PhD Fellowship.