About Me
I am a tenure-track Assistant Professor of Statistics at North Carolina State University, where I have been working since Aug 2020. I received my Ph.D. in Statistics from the University of Illinois at Urbana-Champaign in Jul 2016. From Aug 2016 to Aug 2020, I was a tenure-track Assistant Professor of Statistics at Virginia Tech. Here's my CV.
I am working on formal inferential algorithms for network data and applying such algorithms to epidemiology, social sciences, and environmental health. I am also working on developing a statistical science of patient safety, focusing on adverse medical events due to human errors, medical devices, drug reactions, and radiation therapy.
Email: ssengup2 ''at'' ncsu.edu
Google Scholar: https://scholar.google.com/citations?user=MXM2IiUAAAAJ
Twitter: @SrijanSengupta7
CV_Aug2023.pdfRecent news and updates
Upcoming talk (09/22) on scalable network inference at the Department of Mathematics and Statistics, University of Maryland, Baltimore County
Upcoming talk (09/19) on wildfire area forecasting at the Fire Science Learning AcRoss the Earth system workshop (FLARE), Bermuda
Upcoming talk (09/18) on scalable network inference at the Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University
Our work on scalable community detection has now been published in Statistica Sinica. This is joint work with Yuguo Chen and our co-advised Ph.D. student, Sayan Chakrabarty. This paper is part of a broader research project on scalable network inference.
We received a one-year ($250k) computing supplement from the NIH for our R01 grant on learning gut-brain interactions. This supplement will help us set up an innovative computing framework for next-generation statistical algorithms related to biomedical data.