Shirshendu Chatterjee

Associate Professor

Doctoral Faculty Member

Main Affiliation


Additional Departments/Affiliated Programs

Graduate Center

Areas of Expertise/Research

  • Probability
  • Statistics
  • Algorithms
  • Data Science
  • Machine Learning
  • Network Modeling
  • Network Science
  • Biostatistics


North Academic Center





Shirshendu Chatterjee

Shirshendu Chatterjee


After my PhD at Cornell University (2011), I joined the Courant Institute of Mathematical Sciences, New York University, as a Courant Instructor, where I stayed till 2014. In the Fall semester of 2014, I arrived at CUNY..


I did my undergraduate (B.Stat degree, 2004) and masters (M.Stat degree, 2006) with Honors in Statistics at the Indian Statistical Institute in Kolkata, India. Then, I received an MS degree (2008) and PhD degree (2011) from Cornell University, Ithaca, NY USA, with major in Operations Research & Information Engineering and minor in Mathematics. 

Research Interests

My favorite research topics include analysis of probabilistic models that arise from questions in BiosciencesSocial SciencesPhysics and Computer Science; and Statistical Inference problems that arise from questions in Biosciences and other network data analysis.

Publications and Preprints

  1. Local change point detection methods intransitive inhomogeneous random graphs.
    Joint work with Sharmodeep Bhattacharyya, Shyamal Krishna De, and Soumendu Sundar Mukherjee.
    Near Completion. Abstract is available here.

  2. Concentration of Mean Adjacency and Laplacian Matrices for Lazy Network-Valued Stochastic Processes with Applications.
    Joint work with Sayak Chatterjee, Anirban Nath, Soumendu Sundar Mukherjee, and Sharmodeep Bhattacharyya.
    Near Completion. Abstract is available here.

  3. Comparing fatality of patients with COVID-19 and the flu using machine learning methods.
    Joint work with Joshua Pedro, Yuxuan Huang, Jantine A. C. Broek, and Bud Mishra.
    Submitted, 2021. Abstract is available here.

  4. On the association between estimated Covid-19 case fatality rates and the socioeconomic and health factors in the US States of Florida and New York.
    Joint work with Mansi Joshi, Yanming Di, and Sharmodeep Bhattacharyya.
    Submitted, 2021. Abstract is available here.

  5. Mathematics of YACHT (Yet Another Covid Health Testing) Protocol for Epidemic Management. The old title was ABCDEFG PROTOCOL: Adaptive badging control for a decentralized epidemic policy using a feasible group testing protocol.
    Joint work with Inavamsi Enaganti and Bud Misgra.
    Submitted, 2021. Abstract is available here.

  6. Subcritical connectivity and some exact tailexponents in high dimensional percolation.
    Joint work with Jack Hanson and Philip Sosoe.
    Submitted. Preprint version is available at the arXiv.

  7. Containing Covid: "To trace or not to trace?"-- That is not the question!
    Joint work with Inavamsi Enaganti, Kuldeep Meel, and Bud Mishra.
    Submitted. Abstract is available here.

  8. Community size estimation in generalized assortative networks in sparse regimes.
    Joint work with Neil Hwang, Jiarui Xu, and Sharmodeep Bhattacharyya.
    Submitted, 2021. Abstract is available here.

  9. Observational Study of the Effect of the Juvenile Stay-At-Home Order on SARS-CoV-2 Infection Spread in Saline County, Arkansas.
    Joint work with Neil Hwang, Sharmodeep Bhattacharyya, and Yanming Di.
    Submitted, 2021. Preprint is available at the arXiv.

  10. Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences.
    Joint work with Sharmodeep Bhattacharyya, and Soumendu Sundar Mukherjee.
    Submitted. Preprint version is available at the arXiv.

  11. The effect of avoiding known infected neighbors on the persistence of a recurring infection process.
    Joint work with David Sivakoff and Matthew Wascher.
    Submitted. Preprint version is available at the arXiv.

  12. General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers.
    Joint work with Sharmodeep Bhattacharyya.
    Submitted. Preprint version is available at the arxiv.

  13. A general framework for spatio-temporal modeling of epidemics with multiple epicenters: Application to an aerially dispersed plant pathogen.
    Joint work with Maureiq Ojwang, Trever D. Ruiz, Sharmodeep Bhattacharyya, Peter S. Ojiambo, and David Gent.
    To appear in Frontiers in Applied Mathematics and Statistics, section Dynamical Systems.
    DOI: 10.3389/fams.2021.721352

  14. The Bethe Hessian and Information Theoretic Approaches for Online Change-Point Detection in Network Data.
    Joint work with Sharmodeep Bhattacharyya, Neil Hwang, and Jiarui Xu.
    Sankhya A: The Indian Journal of Statistics (2021). DOI:

  15. Bacterial Swarmers Enriched during Intestinal Stress Ameliorate Damage.
    Joint work with W. Chen, A. De, H. Li, D. J. Lukin, W. Szymczak, K. Sun, L. Kelly, J. R. Wright, R. Lamendella, S. Ghosh, D. B. Kearns, Z. He, C. Jobin, X. Luo, A. Byju, B. San Yeoh, M. Vijay-Kumar, J. X. Tang, S. Mani.
    Gastroenterology 161 (2021), issue 1, 211-224.

  16. Using Attendance Data for Social Network Analysis of a Community-Engaged Research Partnership.
    Joint work with K. S. Vasquez, C. Khalida, D. Moftah, B. DO ́razio, A. Leinberger-Jabari, J. N. Tobin, and R. G. Kost.
    Journal of Clinical and Translational Science 5 (2021), issue 1, E75. DOI:10.1017/cts.2020.571.

  17. Restricted percolation critical exponents in high dimensions.
    Joint work with Jack Hanson.
    Communications on Pure and Applied Mathematics 73 (2020), issue 11, pages 2370-2429. DOI: 10.1002/cpa.21938.

  18. Targeting the Pregnane X Receptor Using Microbial Metabolite Mimicry.
    Joint work with Z. Dvorak, F. Kopp, C. M. Costello, J. S. Kemp, H. Li, A. Vrzalov ́a, M. Stepankov ́a, I. Bartonkov ́a, E. Jiskrov ́a, K. Poulkova, B. Vyhldalova, L. U. Nordstroem, C. V. Karunaratne, H. S. Ranhotra, K. S. Mun, A. P. Naren, I. A. Murray, G. H. Perdew, J. Brtko, L. Toporova, A. Schn, W. G. Wallace, W. G. Walton, M. R. Redinbo, K. Sun, A. Beck, S. Kortagere, M. C. Neary, A. Chandran, S. Vishveshwara, M. M. Cavalluzzi, G. Lentini, J. Y. Cui, H. Gu, J. C. March, A. Matson, D. Wright, K. L. Flannigan, S. A. Hirota, R. B. Sartor, S. Mani.
    EMBO Molecumar Medicine (Cover page) 12 (2020), issue 4, pages e11621. DOI: 10.15252/emmm.201911621.

  19. Consistent Recovery of Communities from Sparse Multi-relational Networks: A Scalable Algorithm with Optimal Recovery Conditions.
    Joint work with Sharmodeep Bhattacharyya.
    Complex Networks XI (2020), 92 -- 103. Proceedings of the 11th Conference on Complex Networks CompleNet 2020.

  20. Optimal change point estimator for network data.
    Joint work with Sharmodeep Bhattacharyya and Soumendu Sundar Mukherjee.
    Proceedings of COMPLEX NETWORKS 2019, the 8th International Conference on Complex Networks & their Applications, 2019.

  21. Thresholds for Detecting an Anomalous Path from Noisy Environments.
    Joint work with Ofer Zeitouni.
    The Annals of Applied Probability 28 (2018), no. 5, 2635-2663.

  22. Phase transition for the threshold contact process, an approximation of heterogeneous random Boolean networks.
    Probability Theory and Related Fields 165 (2016), no. 3, 985-1023.

  23. Multiple phase transitions in long-range first-passage percolation on square lattices.
    Joint work with Partha S. Dey.
    Communications on Pure and Applied Mathematics 69(2016), no. 2, 203 - 256.

  24. Jigsaw percolation: What social networks can collaboratively solve a puzzle?
    Joint work with Charles D. Brummitt, Partha S. Dey and David Sivakoff.
    The Annals of Applied Probability 25 (2015), no.~4, 2013 - 2038.

  25. A first order phase transition in the threshold-θ≥ 2 contact process on random r-regular graphs and r-trees.
    Joint work with Rick Durrett.
    Stochastic Processes and Their Applications 123 (2013), no. 2, 561-578.

  26. Asymptotic Behavior of Aldous' Gossip Process.
    Joint work with Rick Durrett.
    The Annals of Applied Probability 21 (2011) , no. 6, 2447-2482.

  27. Persistence of Activity in Threshold Contact Processes, an "Annealed Approximation" of Random Boolean Networks .
    Joint work with Rick Durrett.
    Random Structures & Algorithms 39 (2011), issue 2, 228 - 246.

  28. Contact processes on random graphs with power-law degree distributions have critical value 0.
    Joint work with Rick Durrett.
    The Annals of Probability 37 (2009), no. 6, 2332-2356.

  29. Statistical Learning Based on High Dimensional Data: some issues and remedies for high dimensionality in clustering and classification.
    Masters Thesis, supervised by Debasis Sengupta and Probal ChaudhuriIndian Statistical Institute, 2006.