Debarghya Mukherjee

Deb Mukherjee will be starting as an assistant professor in the Department of Mathematics & Statistics in fall 2023, after completing a postdoctoral fellowship at Princeton University. He obtained his PhD in Statistics at the University of Michigan where his research focused on the analysis of complex statistical models, especially in high dimensions, where the geometry of the problem becomes extremely relevant. Beyond dealing with independent data settings, Deb is now starting to explore models that capture data dependency, e.g., spatial or temporal dependence under some mixing condition. He is also actively working on algorithmic fairness, domain adaptation, and domain generalization, all of which fall within the purview of constrained classification. One of his key goals is to delve into the connections among these fields that allow the development of machine learning methodologies for optimal transfer of knowledge from one domain to another while preserving fairness. More on Deb’s background is available on on his website.