Mathematical Data Science
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.
Affiliated Academic Staff
Professor of Machine Learning
Institute of Metabolism and Systems Research