

I did my Ph.D at Stanford University, under the supervision of Prof.
Persi Diaconis. In Fall 2014, I joined the Department of Statistics at Columbia University as an Assistant Professor. Starting from Fall 2020, I am an Associate Professor at Columbia.
My email id is sm3949@columbia.edu. Here is a link to my CV, and my Google Scholar page .
My research interests lie in the intersection of Mathematical Statistics, Probability, and Combinatorics. One of my main interests is to develop statistical theory and methods for inference with dependent combinatorial data, such as Ising models and more general discrete Markov random fields, Mallows models on ranking, and exponential random graph models (ERGMs). In another direction I study persistence (above a level line) for "approximately" stationary Gaussian processes. I also study limiting distributions of random multilinear/tensor forms arising from graph coloring problems.
I gratefully acknowledge NSF (DMS2113414, DMS1712037) for partially supporting my research.

Below are my research articles, listed by topic.
Preprints
Mean field Gibbs measures
Variational Inference for high dimensional posteriors
Persistence of Gaussian processes
Limit distributions for multilinear forms

