Professor of Statistics in the Department of Statistics at the University of Warwick and Turing Fellow of The Alan Turing Institute, which is the UK’s national institute for data science and artificial intelligence.
Ioannis' core research interests are in the theory and methodology of statistical learning and inference, and, in particular, in penalized and pseudo-likelihood theory and methods, statistical computing and algorithms for regression problems and methods for clustering.
He also engages in interdisciplinary applied work of the kind that involves a real synthesis of approaches and has the potential to generate new advances in statistical learning and inference with broader impact. The applied work he is/s been involved in is in: sports science (modelling high-frequency in-game events in team sports, and uncovering the links between human behaviour, health, fitness and overall well-being); finance (modelling the dynamics of financial indicators with structural dependencies); earthquake engineering (assessment of the vulnerability of the built environment from post-hazard survey data); neuroimaging (regression methods for brain lesions from MRI data and the summarization and visualization of effects); and genetics (inferring changes in genomic network structures).
Last but not least, Ioannis is particularly interested in the design and development of scientific (and not only) software to deliver the advances from his theoretical/methodological efforts and some tools that he finds useful to the Data Science community and more broadly.