Subhankar Bhadra

Postdoctoral Researcher
subhankar.image
Subhankar
Bhadra
Postdoctoral Researcher
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Biography

Subhankar Bhadra is a Postdoctoral Scholar at the Pennsylvania State University, working under the supervision of Dr. Michael Schweinberger. Subhankar earned his Ph.D. from the North Carolina State University and received his Master's degree from the Indian Statistical Institute, Kolkata.

Research

Subhankar's research interests include

  • Statistical inference on random graphs
  • Causal inference under interference
  • Health data analytics using NLP

Papers

Fritz, C., Schweinberger, M., Bhadra, S., and David R. Hunter. A regression framework for studying relationships among attributes under network interference. Submitted. Journal of the American Statistical Association, Theory & Methods. arXiv:2410.07555.

Bhadra, S., Pensky, M., and Sengupta, S.. Scalable Community Detection in Massive Networks via Predictive Assignment. Invited major revision. Journal of the American Statistical Association, Theory & Methods.

Bhadra, S.. Efficient Statistical Inference Methods for Problems in Network Science. Thesis.

Teaching

STAT 415 & MATH 415 Introduction to mathematical statistics