Debarghya Mukherjee, PhD

Debarghya Mukherjee is an Assistant Professor with joint appointments in the Department of Mathematics and Statistics and CDS at Boston University. His research interests span a variety of fields: he is keenly interested in the analysis of complex statistical models (e.g. deep neural networks), especially in high dimensions, where the geometry of the problem becomes extremely relevant. Although his previous research has dealt with independent data settings, he is now starting to explore models that capture data dependency (e.g., spatial or temporal dependence under some mixing conditions). He also actively works on algorithmic fairness, domain adaptation, and domain generalization, all of which fall within the purview of constrained classification/regression. One of his key goals is to delve into the connections among these fields of modern machine learning and develop methodologies for the optimal transfer of knowledge from one domain to another while preserving fairness.

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