Satyaki Mukherjee is currently a postdoctoral researcher in the theory of machine learning. He is interested in a variety of problems involving some mix of probability, statistics, computer science, graph theory and combinatorics.
PhD in Mathematics, 2021
University of California, Berkeley
Masters in Mathematics, 2015
Indian Statistical Institute
Bachelors in Mathematics, 2013
Indian Statistical Institute
Selected posts