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 (DMS-2113414, DMS-1712037) for partially supporting my research.

Below are my research articles, listed by topic.
Preprints