Sayan Mukherjee, PhD

Sayan Mukherjee, PhD

Professor of Statistical Science

Research interests

  • Statistical and computational methodology in genetics, cancer biology, metagenomics, and morphometrics;
  • Bayesian methodology for high-dimensional and complex data;
  • Machine learning algorithms for the analysis of massive biological data;
  • Integration of statistical inference with differential geometry and algebraic topology;
  • Stochastic topology;
  • Discrete Hodge theory;
  • Inference in dynamical systems.

Recent Publications

Bryan, J; Mandan, A; Kamat, G; Gottschalk, WK; Badea, A; Adams, KJ; Thompson, JW; Colton, CA; Mukherjee, S; Lutz, MW; Alzheimer's Disease Neuroimaging Initiative,
January 21, 2021
Berchuck, S; Jammal, A; Mukherjee, S; Somers, T; Medeiros, FA
August 29, 2020
Silverman, JD; Roche, K; Mukherjee, S; David, LA
January 1, 2020
Crawford, L; Monod, A; Chen, AX; Mukherjee, S; Rabadán, R
January 1, 2019
Gao, T; Brodzki, J; Mukherjee, S
January 1, 2019
Mukherjee, SP; Sinha, BK; Chattopadhyay, AK
October 5, 2018