Collectively, this team has supervised over 200 doctoral projects to completion, and represents several decades of experience in delivering cohort-based collaborative doctoral training.
Ruth Baker
Professor of Applied Mathematics, University of Oxford
Professor Ruth Baker is a mathematician whose research focuses on mathematical biology and the modelling of complex biological systems. Her work integrates quantitative methods with experimental bioscience, addressing how biological structure and function emerge across scales. She has extensive experience in interdisciplinary doctoral training at the interface of mathematics and the life sciences. Her scholarship exemplifies the rigorous quantitative foundation that underpins ENAIBLE’s approach.
Michael Bronstein
DeepMind Professor of Artificial Intelligence, University of Oxford
Professor Michael Bronstein is a leading researcher in machine learning and geometric deep learning. His work develops advanced computational frameworks for analysing structured and high-dimensional data, with applications that extend into biological and scientific domains. He brings deep expertise in AI foundations and interdisciplinary research leadership, supporting ENAIBLE’s ambition to integrate cutting-edge AI methods with bioscience challenges.
Jean-Baptiste Cazier
Head of Bioinformatics & Biostatistics, Francis Crick Institute
Professor Jean-Baptiste Cazier leads bioinformatics and biostatistics at the Francis Crick Institute, where he oversees quantitative analysis of large-scale biological data. His work bridges computational science and translational biology, emphasising robust statistical approaches to complex datasets. Within ENAIBLE, he contributes expertise in data-intensive bioscience and cross-institutional collaboration.
Mark Coles
Professor of Immunology, University of Oxford
Professor Mark Coles is an immunologist whose research examines immune system dynamics and translational mechanisms in disease and therapy. His work combines experimental biology with analytical approaches to understand how immune responses develop and adapt. His experience in interdisciplinary collaboration strengthens ENAIBLE’s integration of biological insight with computational analysis.
Ian Donnison
Professor and Head of IBERS, Aberystwyth University
Professor Ian Donnison leads the Institute of Biological, Environmental and Rural Sciences (IBERS) at Aberystwyth University. His research focuses on plant science, genetics and sustainable agricultural systems, expanding ENAIBLE’s scope into bioscience areas central to food security and environmental resilience. His leadership reinforces the programme’s commitment to diverse biological contexts beyond health.
David Gavaghan
Professor of Computational Biology, University of Oxford
Professor David Gavaghan is Professor of Computational Biology at the University of Oxford and a long-standing leader in interdisciplinary doctoral training. He established Oxford’s original Life Sciences Interface doctoral training programme, which evolved into today’s Doctoral Training Centre (DTC). His research applies mathematical and computational modelling to complex physiological and biological systems. His leadership has shaped more than two decades of cohort-based interdisciplinary training, forming a central foundation for ENAIBLE.
Thomas Jackson
Professor of Geriatric Medicine and Biology of Ageing, University of Birmingham
Professor Thomas Jackson specialises in ageing biology and clinical research. His work integrates biological insight with quantitative and translational approaches to understanding resilience, frailty and age-related disease. His expertise contributes to ENAIBLE’s emphasis on data-driven approaches to complex health challenges.
Blanca Rodriguez
Professor of Computational Medicine, University of Oxford
Professor Blanca Rodriguez focuses on AI-enabled modelling and simulation approaches to understand physiological systems and therapeutic mechanisms. Her research spans AI, digital modelling and data-driven methods in medicine, advancing interdisciplinary approaches that combine computation, experiment and clinical data. She brings substantial experience in computational bioscience and doctoral supervision across disciplinary boundaries.
Peter Tino
Professor of Complex and Adaptive Systems, University of Birmingham
Professor Peter Tino’s research focuses on complex systems, statistical modelling and machine learning in high-dimensional settings. His expertise in advanced data analytics and system modelling supports ENAIBLE’s quantitative training objectives and strengthens collaboration across computational and biological domains.
Angeliki Kerasidou
Associate Professor in Bioethics, University of Oxford
Associate Professor Angeliki Kerasidou specialises in bioethics, with a focus on the ethical and societal implications of emerging technologies in health and data-driven research. Her work explores how AI and biomedical innovation intersect with governance, values and public trust. Her contribution ensures that ethical reflection is embedded throughout ENAIBLE’s training and research culture.