The research of our group focuses on the mathematical aspects of Data Science, and aims to tackle challenges arising in this interdisciplinary field by drawing on methods and theories from Statistics, Applied Mathematics, Computational Science and their related areas.
The members of our group work on a vast variety of inter-connected topics, including Applied Probability, Econometrics, Machine Learning, Medical Statistics, Non-parametric Statistics, Numerical Analysis, Optimisation, Statistical Decision Theory, and Uncertainty Quantification. The specific research interests of our group members are listed below.
The Data Science group hosts a weekly Data Science and Computational Statistics seminar series.
The group benefits from the University of Birmingham's membership of the The Alan Turing Institute, the UK's national institute for data science and artificial intelligence, and interacts closely with the Institute for Interdisciplinary Data Science and AI.
Head of Data Science Group
Reader in Statistics and Econometrics
Dr Li works in environmental and natural resource economics, and applied econometrics.
Academic Staff
Associate Professor
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 ...
Assistant Professor in Statistics
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 of Mathematics
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.
Assistant Professor
Dr Jiang's research interests are: inverse problems and imaging; model order reduction; uncertainty quantification.
Professor
Director of Research of Mathematics
Professor Li has research interests in scientific computing, computational statistics and uncertainty quantification.
Assistant Professor
Dr Li's research focuses on statistical theory and methodology for heterogeneous data analysis, especially in high-dimensional settings and under privacy constraints.
Lecturer
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.
Assistant Professor in Applied Mathematics and Statistics
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.
Assistant Professor in Mathematics
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 ...
Associate Professor in Mathematical Optimisation and Data Science
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.
Assistant Professor
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.
Assistant Professor
Dr Tang's research interests include large-scale optimisation, statistical learning theory, and applications in computer vision and medical imaging.
Associate Professor in Mathematics and Statistics
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.
Assistant Professor in Statistics
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.
Associate Professor
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.
PhD Students
Note that not all PhD researchers have requested profiles.
Affiliated Academic Staff
Professor of Biostatistics
Institute of Applied Health Research
Professor of Machine Learning
Institute of Metabolism and Systems Research