Minerva Mukhopadhyay

Minerva Mukhopadhyay is an Assistant Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology Kanpur. She earned her PhD in Statistics from the Indian Statistical Institute (ISI), Kolkata, and completed postdoctoral work at Duke University under Professors David Dunson and Sandeep Dave. Her research focuses on Asymptotic Statistics, Bayesian Variable Selection, and Nonparametric Inference, with applications to high-dimensional data analysis.

Her academic work includes developing distribution-free tests for high-dimensional data, consistency analysis of Bayesian variable selection methods, and novel approaches for sparse linear models. She has contributed to journals like Biometrika, Annals of the Institute of Statistical Mathematics, and Statistica Sinica, reflecting her expertise in theoretical and computational statistics.

• Research Trends: Her recent articles emphasize scalable Bayesian methods for ultra-high-dimensional data, random projections for predictive modeling, and nonparametric extensions using Gaussian processes.
• Scientific Awards:
  • Best Student Paper Award (IISA 2015)
  • Pillar Iglesias Travel Award (ISBA 2016)
  • O’Bayes Travel Award (2017)
• Academic Roles: Previously taught at Bethune College (Kolkata) and Duke University, with experience in interdisciplinary statistical research at ISI.
• Skills: C, R, MATLAB, and journal reviewing for TEST, JSPI, Stat, and CSDA.