Dr Kostas Kalogeropoulos

Kostas Kalogeropoulos is an Associate Professor in the Department of Statistics at the London School of Economics and Political Science. His research focuses on Bayesian inference for latent dynamic systems, with particular emphasis on stochastic processes, sequential learning, and structured dependence modelling. Methodologically, his work lies at the interface of Bayesian statistics, stochastic processes, and computational inference for partially observed systems.

His research includes contributions to Bayesian inference for stochastic differential equations, Sequential Monte Carlo and Markov chain Monte Carlo methods, Gaussian process models, epidemic modelling, and latent-variable systems, with applications in financial econometrics, epidemiology, biostatistics, and related areas.

Prior to joining LSE, he was a postdoctoral researcher in the Signal Processing Laboratory of the Engineering Department at the University of Cambridge. He completed his PhD in Statistics at the Athens University of Economics and Business.