Statistics and Data Science

Dr Li works in environmental and natural resource economics, and applied econometrics.

Biman Chakraborty is an Associate Professor in Statistics. He has published several research papers in premier International Statistics journals as well as reviews and book chapters in nonparametric multivariate statistics, statistical computing and statistical reliability. He acts as reviewer to many International journals regularly. He also received many research grants from various ...

Dr Lax works in the general field of Functional data analysis. He is interested in both the theoretical properties as well as the methodological development in this general area. In the last few years, he has been working mainly on small ball probability and complexity problems. He worked on multiple systems estimation as well, and is rather enthused about R programming.

Professor Duong's research interests lie in the intersections of analysis and applied probability. Most of his research is inspired from applications in molecular dynamics, material sciences and biological systems.

Dr Jiang's research interests are: inverse problems and imaging; model order reduction; uncertainty quantification.

Professor Li has research interests in scientific computing, computational statistics and uncertainty quantification.

Dr Li's research focuses on statistical theory and methodology for heterogeneous data analysis, especially in high-dimensional settings and under privacy constraints.

Dr Lionnet's research interests span theoretical and numerical analysis of Backward Stochastic Differential Equations (BSDEs), probabilistic numerical methods for PDEs, and systemic risk in financial networks.

Dr Sachs's research interests are in numerical analysis of stochastic differential equations; computational statistics, the design and analysis of Markov chain Monte Carlo methods; machine learning methods for molecular systems/dynamics.

Dr Seymour is a statistician developing Bayesian methods for applications in social and health sciences. Dr Seymour's current interests include developing statistical prevalence estimation methods for different crime types and applications of Bayesian nonparametric methods.

Dr Seymour is a UKRI Future Leaders Fellow, developing computational statistical methods to tackle modern slavery. He has ...

Dr Shang's primary research interests lie in the optimal design of numerical methods for stochastic differential equations with a strong emphasis on applications ranging from computational mathematics, statistics, physics, to data science.

Dr Shao's principal research interests are in the intersection of financial and actuarial mathematics: quantitative analysis of Insurance-Linked Securities (ILS), Extreme Value Theory (EVT) and heavy-tailed distributions, with an emphasis on pricing catastrophe risk (CAT) bonds, nuclear power-linked securities and applications.

Dr Tang's research interests include large-scale optimisation, statistical learning theory, and applications in computer vision and medical imaging.

Dr Touloupou's research is concerned with mathematical modelling of infectious diseases and the development of novel statistical methods needed for model fitting and model selection.

Dr Trottner is a statistician working at the interface of mathematical statistics, machine learning and stochastic processes. His current research interests include statistics for SPDEs, data-driven optimal control and statistical aspects of deep generative models, where he focuses on the theoretical convergence analysis of the developed methods.

Dr Zhang's research lies in Markov Decision Processes and Stochastic Games, Markov Chains and Pure Jump Processes, Statistical Decision Theory and Sequential Analysis, and applications to e.g., Impulse Control Problems and Telecommunication.