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Promit Ghosal is an Assistant Professor at the University of Chicago, specializing in Probability Theory, Mathematical Physics, Statistics, and Machine Learning. His research primarily focuses on optimal transport, the KPZ equation, and the study of stochastic partial differential equations (PDEs). Ghosal has contributed significantly to understanding the dynamics associated with Gaussian processes and their applications in statistical physics and mathematics. He is known for his work on the stability of entropic optimal transport, as well as joint estimation in statistical models, particularly the Ising model. His published articles have appeared in notable journals such as the Annals of Statistics, Advances in Neural Information Processing Systems, and the Duke Mathematical Journal. Ghosal's research interests lie at the intersection of applied mathematics and statistical theory, and he has been actively publishing on topics related to the quantification of uncertainty and the behavior of complex systems. He has a robust publication record with numerous citations in the field, reflecting his active engagement in cutting-edge research.
University of Chicago • Chicago, IL
Assistant Professor in the Department of Mathematics, focusing on probability theory and mathematical physics.
Department of Philosophy