Sanket Jantre

Sanket is a research staff member in the Applied Mathematics department within the Computing and Data Sciences Directorate at Brookhaven National Laboratory. Previously, he was the Amalie Emmy Noether Postdoctoral Fellow (2022–2024) in the same department. He earned his Ph.D. in Statistics from Michigan State University in 2022, and holds an M.S. in Economics and a B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Kanpur (2017). 

Sanket's research interests span Bayesian statistics, uncertainty quantification (UQ), deep learning, Markov Chain Monte Carlo (MCMC), variational inference, and sparsity methods. He also focuses on dimensionality reduction, surrogate modeling, hybrid physical-data driven models, and active learning, with applications across climate science, materials science, and life sciences.