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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!

IMPORTANT: This site may not be too mobile friendly. It is best to view it in a desktop/laptop.


If you have completed Masters degree/PhD in Statistics/Data Science/Mathematics, and are interested in applying for a research assistant position under my supervision at NUS, send an email to:


Applicants must have a reasonable background in coding with R/MATLAB/Python, and should be familiar with the theoretical aspects of statistics/data science too (i.e. proving results on theoretical guarantees of algorithms). The duration of the position is subject to discussion, but expected to be one/two years.



Google Scholar


  • Winner of the 2020 J. Parker Bursk Prize for Research from Wharton.

  • Winner of the P.C. Mahalanobis gold medal award given to the best student in the MSTAT program in the Indian Statistical Institute, 2016.


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