Sanjay Chaudhuri

Sanjay Chaudhuri is an Associate Professor in the Department of Statistics at the University of Nebraska-Lincoln (UNL). He previously held positions at the National University of Singapore (2005–2023) and earned his Ph.D. from the University of Washington (2005), under Professors Michael D. Perlman and Thomas S. Richardson. His research focuses on empirical likelihood, Bayesian methods, high-dimensional data analysis, and applications in demography, network data, and machine learning.

Education: B.Stat and M.Stat from the Indian Statistical Institute (1998–2000), Ph.D. in Statistics from the University of Washington (2005).

Research Interests: Empirical likelihood, statistical data integration, Bayesian empirical likelihood, graphical Markov models, covariance estimation, causality, approximate Bayesian computation (ABC), and applications in natural, engineering, and marketing sciences.

Teaching: Advanced Topics in Applied Statistics, Statistical Models, Applied Regression Analysis, Design of Experiments, and courses on graphical models, data science, and linear models.

Software Contributions: Developer of R packages glmc (combining sample/population data), ES (edge selection), elhmc (Hamiltonian Monte Carlo sampling), and Anhysnuc (analyzing nucleic acid thermal curves).

Grants & Collaborations: Active in interdisciplinary projects involving statistical methods for complex data, including pandemic dynamics, thermal curve analysis, and environmental statistics.

Labs/Teams: Leads the development of Anhysnuc, a web-based tool for analyzing irreversible thermal curves from nucleic acid hybridization experiments.