Rate My Professor Sharmodeep Bhattacharyya

His research focuses on statistics on graphs and networks, including community detection in sparse networks and semiparametric modeling; high-dimensional data analysis and time-series; unsupervised learning, particularly clustering and manifold learning; multiple hypothesis testing; and applications in neuroscience, epidemiology, genomics, astronomy, and astrophysics. Bhattacharyya has been principal investigator or co-principal investigator on grants from USDA NIFA ($3M, 2022-2026), USDA SCRI ($4.85M, 2021-2025), NSF ($1.4M, 2020-2023), and others. Awards include the ISIAA Mrs. M.R. Iyer Gold Medal for outstanding M.Stat. achievement (2008) and the Editor’s Choice Best Paper Award (2021) from Frontiers in Applied Mathematics and Statistics. Select publications comprise "On the estimation of the number of communities for sparse networks" (Journal of the American Statistical Association, 2023), "Hierarchical community detection by recursive bi-partitioning" (JASA, 2020), and "General Framework for Spatio-temporal Modeling of Epidemics with Multiple Epicenters: Application to an Aerially Dispersed Plant Pathogen" (Frontiers in Applied Mathematics and Statistics, 2021). He has organized workshops and invited sessions at major conferences and serves as a reviewer for NSF panels and journals such as JASA and Annals of Statistics.