Dr Kolyan M Ray

Dr Kolyan M Ray is a Reader in Statistics at the Department of Mathematics, Imperial College London. His research focuses on statistical methodology, with an emphasis on nonparametric and semiparametric models. Dr Ray's work contributes to the development of robust statistical techniques applicable across various scientific disciplines. He is affiliated with the university's mathematics department and maintains an online profile at https://profiles.imperial.ac.uk/kolyan.ray.

Kolyan Ray is an Associate Professor in Statistics at Imperial College London, specializing in Bayesian nonparametrics, causal inference, variational inference, and inverse problems. His research focuses on developing statistical methods for high-dimensional data, including variational Bayes techniques for sparse priors and nonparametric Bayesian inference for complex models. Ray's work addresses challenges in causal inference, Bayesian inverse problems, and statistical learning with high-dimensional data. His publications explore topics such as semiparametric Bayesian causal inference, nonparametric inference for diffusions, and Bayesian material flow analysis. His research contributes to both theoretical and applied statistics, with applications in genetics, econometrics, and systems with high-dimensional data.