Mikhail Yurochkin

Mikhail is a Research Staff Member at IBM Research and MIT-IBM Watson AI Lab in Cambridge, Massachusetts. His research interests are

• Algorithmic Fairness
• Out-of-Distribution Generalization
• Applications of Optimal Transport in Machine Learning
• Model Fusion and Federated Learning

Before joining IBM, he completed his PhD in Statistics at the University of Michigan, where he worked with Prof. XuanLong Nguyen on geometric inference in Bayesian models.

Personal Webpage: https://moonfolk.github.io/