Sayan Mukherjee, PhD

Sayan Mukherjee, PhD

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

Gao, T; Brodzki, J; Mukherjee, S
January 1, 2019
Barish, S; Nuss, S; Strunilin, I; Bao, S; Mukherjee, S; Jones, CD; Volkan, PC
August 13, 2018
Crawford, L; Wood, KC; Zhou, X; Mukherjee, S
January 1, 2018
Singleton, KR; Crawford, L; Tsui, E; Manchester, HE; Maertens, O; Liu, X; Liberti, MV; Magpusao, AN; Stein, EM; Tingley, JP; Frederick, DT; Boland, GM; Flaherty, KT; McCall, SJ; Krepler, C; Sproesser, K; Herlyn, M; Adams, DJ; Locasale, JW; Cichowski, K; Mukherjee, S; Wood, KC
December 5, 2017
Darnell, G; Georgiev, S; Mukherjee, S; Engelhardt, BE
November 1, 2017