Shirshendu Chatterjee

Assistant Professor

Main Affiliation


Additional Departments/Affiliated Programs

Graduate Center

Areas of Expertise/Research

  • Probability
  • Statistics
  • Algorithms


North Academic Center





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.



  1. Estimating Treatment Effect Of The Juvenile Stay-at-home Order In Saline County, Arkansas.
    Joint work with Neil Hwang, Sharmodeep Bhattacharyya, and Yanming Di.
    Submitted. Preprint version is available at the arXiv.
  2. Stakeholder Engagement in a Long-Standing Community-Academic Research Partnership: A Social Network Analysis.
    Joint work with Rhonda Kost, Jonathan Tobin, Kimberly S. Vasquez, and others.
    Submitted. Preprint version is available here.
  3. 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.
  4. A general framework for spatio-temporal modeling of epidemics with multiple epicenters with an application to aerially dispersed plant disease.
    Joint work with David Gent, Peter S. Ojiambo, Sharmodeep Bhattacharyya, Maureiq Ojwang, and Trever D. Ruiz.
    Submitted. Preprint version is available here.
  5. Bacterial swarming is a protective host response during intestinal inflammation.
    Joint work with Weijie Chen, Sridhar Mani and others.
    Submitted. Preprint version is available at the BioRxiv.
  6. 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 here.
  7. 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.
  8. Bethe Hessian and Information theoretic approaches for online change point detection in network data.
    Joint work with Sharmodeep Bhattacharyya, Neil Hwang, and Jiarui Xu.
    To appear in Sankhya A. Preprint version is available here.
  9. 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.
  10. Targeting the Pregnane X Receptor Using Microbial Metabolite Mimicry.
    Joint work with Sridhar Mani, Giovanni Lentini, Anjaparavanda Naren, Adam Matson, Dennis Wright, and others.
    EMBO Molecumar Medicine (Cover page) 12 (2020), issue 4, pages e11621. DOI: 10.15252/emmm.201911621.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. Multiple phase transitions in long-range first-passage percolation on square lattices.
    Joint work with Partha S. Dey.
    Communications in Pure and Applied Mathematics 69(2016), no. 2, 203 - 256.
  16. 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.
  17. 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.
  18. Asymptotic Behavior of Aldous' Gossip Process.
    Joint work with Rick Durrett.
    The Annals of Applied Probability 21 (2011) , no. 6, 2447-2482.
  19. 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.
  20. 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.
  21. 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 Chaudhuri, Indian Statistical Institute, 2006.