
Somabha Mukherjee

Welcome to my homepage! I am currently an Assistant Professor in the Department of Statistics and Data Science, National University of Singapore. Prior to joining this department, I completed PhD from the Department of Statistics, the Wharton School, University of Pennsylvania. My doctoral advisor was Bhaswar Bhattacharya.
​
I am interested in both Statistics and Probability. Within Statistics, my research interests include non-parametric statistics (testing and variable selection), inference in graphical models, high-dimensional CLT, shape-restricted regression and inference in Markov random fields. Within Probability, my research interests include discrete & combinatorial probability, large deviations, random graphs and statistical physics. My Ph.D. dissertation thesis centers around the problem of inference in higher order Markov random fields, particularly in tensor Ising models.
​
Please navigate to the individual menus above to know me better, and for a more detailed account of my publications and research!
​​
I am currently searching for a research fellow (postdoc) for a duration of 1-2 years. The eligible candidate should have completed PhD, with reasonable background in theoretical statistics/applied probability, and should preferably have some coding experience, too. Candidates interested in applying for this position can first contact me directly by email (somabha@nus.edu.sg).
​
​
This site may not be too mobile friendly. It is best to view it in a desktop/laptop.
​
​
AWARDS & HONOURS
-
Winner of the 2022 Faculty Teaching Excellence Award, National University of Singapore.
​
-
Winner of the 2020 J. Parker Bursk Prize for Research from Wharton.
​
-
Winner of the International Indian Statistical Association (IISA) student paper competion, 2020.
​
-
Winner of the P.C. Mahalanobis gold medal award given to the best student in the MSTAT program in the Indian Statistical Institute, 2016.
​
RESEARCH GRANTS
-
National University of Singapore Start-up Grant WBS A-0008523-00-00 (2021 - 2025).
​
-
FoS Tier 1 grant WBS A-8001449-00-00 (2023 - 2026).
​
-
FoS Tier 1 grant WBS A-8002932-00-00 (2025 - 2027).
​
​
​