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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.

College strategic research areas

Data Science


  • 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