Sanket Jantre
Research Staff 3, Applied Mathematics, Computational Science Initiative
Brookhaven National Laboratory
Computational Science Initiative
Bldg. 725, Room 2-143
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-2643
sjantre@bnl.gov
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.
Expertise | Education | Appointments
Expertise
- Bayesian Machine Learning
- Uncertainty Quantification
- Reduced Order/ Surrogate Modeling
- Dimensionality Reduction
- Hybrid Physical-Data Driven Modeling
Education
- Ph.D., Michigan State University, Statistics, 2022.
- M.S., Indian Institute of Technology Kanpur, Economics, 2017
- B.Tech., Indian Institute of Technology Kanpur, Computer Science and Engineering, 2017.
Professional Appointments
- Jan 2025 - Present, Research Staff 3, Applied Mathematics Department, Brookhaven National Laboratory
- May 2024 - Dec 2024, Research Staff 2, Applied Mathematics Department, Brookhaven National Laboratory
- Sept 2022 – May 2024, Noether Postdoctoral Fellow, Applied Mathematics Department, Brookhaven National Laboratory
Brookhaven National Laboratory
Computational Science Initiative
Bldg. 725, Room 2-143
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-2643
sjantre@bnl.gov
