Rishideep Roy

Rishideep Roy is a Lecturer in the School of Mathematics, Statistics and Actuarial Science at the University of Essex, Colchester Campus. Previously, he served as an Assistant Professor of Decision Sciences at the Indian Institute of Management Bangalore (2016–2023). He holds a PhD in Statistics from the University of Chicago (2016), with a thesis on Extreme Values of Log-Correlated Gaussian Fields, and degrees from the Indian Statistical Institute Kolkata (MSc Statistics, 2011; BSc Honours, 2009).

His research focuses on statistical modeling, Bayesian analysis, sports analytics, election forecasting, and interacting particle systems. Notable areas include voter models for fraud detection, real-time soccer match predictions, and applications of log-correlated fields in financial modeling. He also explores probability theory, extreme value analysis, and network dynamics.

Roy’s work bridges theoretical statistics and practical applications, including market churn analysis, sports betting frameworks, and healthcare-acquired infection reduction strategies. He maintains an open-door policy for academic queries and actively contributes to teaching and supervision within his department.

His publications span topics like rumor spread dynamics, branching random walks, and bivariate exponential distributions. While no specific grants or awards are listed, his research reflects a strong emphasis on interdisciplinary applications of statistical methodologies.