Skip to main content
Sharmodeep Bhattacharyya

Sharmodeep Bhattacharyya

Associate Professor
Department of Statistics
AI Graduate Program, EECS, College of Engineering

Sharmodeep Bhattacharyya

Associate Professor
Department of Statistics
AI Graduate Program, EECS, College of Engineering


I am an Associate Professor in the Department of Statistics at Oregon State University. Before joining Oregon State University in the Spring 2015, I was a post-doctoral research scholar in the Department of Statistics at the University of California, Berkeley. I completed my Ph.D. in Statistics from the University of California, Berkeley, in 2013 under the supervision of Prof. Peter J. Bickel. Before that, I completed B.Stat and M.Stat from the Indian Statistical Institute, Kolkata.


Research Interests

  • Statistics on Graphs and Networks
  • Statistical Application in Neuroscience
  • Statistical Genetics: Formation and Analysis of Biological Networks
  • High-dimensional Structured Density Estimation and Anomaly Detection
  • Unsupervised Learning especially Clustering and Manifold Learning
  • Application of Statistics in Astronomy and Astrophysics
  • Multiple Hypothesis Testing
  • Semiparametric and Nonparametric Statistical Techniques and Time-series Analysis


Ph.D. in Statistics, University of California at Berkeley, 2013.

M.Stat, Indian Statistical Institute, Kolkata, 2008.

B.Stat, Indian Statistical Institute, Kolkata, 2006.


  • Selected Publications
  • Hwang, N., Xu, J., Chatterjee, S., and Bhattacharyya, S., 2023. On the estimation of the number of communities for sparse networks. Journal of the American Statistical Association, just-accepted (2023): pp. 1-22.
  • Hwang, N., Chatterjee, S., Di, Y., and Bhattacharyya, S., 2022. Observational study of the effect of the juvenile stay-at-home order on SARS-CoV-2 infection spread in Saline County, Arkansas. Statistics and Public Policy.
  • Ojwang, A.M.E., Ruiz, T.D., Bhattacharyya, S., Chatterjee,S., Ojiambo, P., Gent, D., 2021. General Framework for Spatio-temporal Modeling of Epidemics with Multiple Epicenters: Application to an Aerially Dispersed Plant Pathogen. Frontiers in Applied Mathematics and Statistics (Editor’s Choice Best Paper Award, 2021).
  • Li, T., Lei, L., Bhattacharyya, S., Van den Berge, K., Sarkar, P., Bickel, P. J., and Levina, E., 2020. Hierarchical community detection by recursive bi-partitioning. Journal of the American Statistical Association. 2020 Oct 8:1-39.
  • Gent, D. H., Bhattacharyya, S., and Ruiz, T., 2019. Prediction of Spread and Regional Development of Hop Powdery Mildew: A Network Analysis. Phytopathology, 109(8), 1392-1403.
  • Bhattacharyya, S., and Chatterjee, S., 2018. Spectral clustering for multiple sparse networks: I. arXiv preprint arXiv:1805.10594.
  • Bouchard, K., Bujan, A., Roosta-Khorasani, F., Ubaru, S., Prabhat, M., Snijders, A., Mao, J.H., Chang, E., Mahoney, M.W. and Bhattacharya, S., 2017. Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction. In Advances in Neural Information Processing Systems (pp. 1078-1086).
  • Bhattacharyya, Sharmodeep; Bickel, Peter J. Subsampling bootstrap of count features of networks. Ann. Statist. 43 (2015), no. 6, 2384–2411.
  • Bhattacharyya, Sharmodeep, and Peter J. Bickel. "Community detection in networks using graph distance." arXiv preprint arXiv:1401.3915 (2014).
  • Bhattacharyya, Sharmodeep, and Peter J. Bickel. "Adaptive Estimation in Elliptical Distributions with Extensions to High Dimensions." (2013)


  • USDA NIFA grant: US-UK Collab: Long Distance Dispersal and Disease Spread Under Increased Ecological Complexity, Total Amount: $3,000,000, Time: 2022-2026, (PI: Chris Mundt, OSU).
  • USDA SCRI grant: Enhancing Supply Chain Sustainability and Global Competitiveness for Pacific Northwest Hops, Total Amount: $4,853,908, Time: 2021-2025, (PI: Doug Walsh, WSU).
  • NSF: CC* Team: Oregon Big Data Research and Education Team, Total Amount: $1,400,000, Time: 2020-2023, (PI: Brett Tyler, OSU).
  • Workshop in Banff International Research Station on New Directions in Statistical Inference on Networks and Graphs, Time: Sep 19-24, 2021, (PI: Sharmodeep Bhattacharyya, OSU and co-PI: Elizaveta Levina, UMich, co-PI: Carey Priebe, JHU, co-PI: Tianxi Li, UVirginia).
  • DARPA grant: Predictive and Interpretive Analysis of Neural Time-Series Data, Amount: $50,000, Time: 2017-2018, (PI: Kenneth Kosik, UCSB and co-PI: Kristofer Bouchard, LBNL)
  • Oregon BEST grant: Integrated Decision Support for Irrigation Management, Amount: $20,000, Time: 2016-2018, (PI: Clinton Shock, OSU)
  • USDA grant: A production system for high value crops at risk from downy mildew: Integrating detection, breeding, extension, and education, Amount: $150,000, Time: 2016-2019, (PI: Mary Hausbeck, MSU)
  • UC Davis grant: Network Characteristics and Modeling of Powdery Mildew Spread: Foundations for Area-Wide IPM, Amount: $20,000, Time: 2016-2017, (PI: David Gent, USDA and OSU)


  • See the CV