Rohan Sarkar

Rohan Sarkar is an Assistant Research Professor (postdoc) in the Mathematics Department at the University of Connecticut. His research focuses on Probability Theory, Functional Analysis, and Geometry, with emphasis on spectral theory of non-self-adjoint Markov semigroups and functional inequalities. He completed his Ph.D. in 2022 from Cornell University's Department of Operations Research and Information Engineering, under the supervision of Pierre Patie. He holds a Master's and Bachelor's in Statistics from the Indian Statistical Institute, Kolkata.

His research interests bridge spectral theory and stochastic processes, exploring connections between functional inequalities and geometric properties of operators. Recent work includes studies on Lévy-Ornstein-Uhlenbeck semigroups, dimension-independent functional inequalities, and solutions to the van Dantzig problem linked to the Riemann hypothesis.

His articles address topics ranging from spectral analysis of Markov processes to applications in PDEs and bioinformatics. Notable contributions include isospectral schemes for stochastic processes and clustering methods for large biological datasets.