Topics are more meaningful than words. AI for comparative literature.
Research Staff Member
Mikhail is a Research Staff Member at IBM Research AI in Cambridge. His research interests include Bayesian nonparametrics and scalable Bayesian inference. Recently he has also been working on Optimal Transport and fairness in AI. Before IBM, Mikhail completed PhD in Statistics at the University of Michigan, advised by Prof. Long Nguyen. He received his bachelor degree in applied mathematics and physics from Moscow Institute of Physics and Technology.
Publications with the MIT-IBM Watson AI Lab