Management team

The management team will be responsible for the overall running of the Centre, overseeing all aspects of the programme delivery and maintaining relationships with the University, the participating institutes, our external partners and UKRI.

The structure of the team consists of a Director, a Deputy Director, and an Executive Board, chosen for their extensive experience in training and their interdisciplinary profile. Collectively they provide expertise that covers each strand of research training that students will experience.

Diego Oyarzún

Diego Oyarzún (CDT Director, School of Informatics & School of Biological Sciences) is Reader in Computational Biology. He leads a team focussed on biomolecular systems for future therapies and the industrial biotechnology sector. Applications of their technologies include engineering biology and gene circuit design using techniques from machine learning, dynamical systems and control theory. Diego is Programme Director of the MRC Cross-Disciplinary Fellowship Programme at the Institute for Genetics and Cancer, and co-founder of the Edinburgh Science for Sustainability Hub. He has had roles with influential multi-stakeholder bodies (World Economic Forum, G20, OECD, Alan Turing Institute) and is currently a Fellow of the Royal Society of Biology.

Image of Diego Oyarzun

Michael Gutmann

Michael Gutmann (Informatics) is a Senior Lecturer in Machine Learning. He and has extensive international experience in developing methods for data analysis in biomedical applications. He served as an area chair for the International Conference on Artificial Intelligence and Statistics and coordinates the professional development activities for postdoctoral research associates at the School of Informatics.

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Luciana D'Adderio

Luciana D'Adderio is Chancellor’s Fellow in Data Science/Data Driven Innovation at the University of Edinburgh’s Usher Institute. Her work currently centers on Healthcare and Medical AI based technologies (e.g. expert and decision support systems for prediction or diagnosis). Luciana has worked over the years in close collaborations with a range of leading industrial companies, including most recently with GE Life Sciences. She welcomes prospective PhD candidates who have an interest in studying and understanding AI technologies in the context of real world practice, practitioners, and practices.

Luciana D'Adderio

Riccardo Marioni

Riccardo Marioni is a Professor of Molecular Epidemiology of Ageing and Group Leader in the Centre for Genomic and Experimental Medicine (CGEM, IGC). His group are interested in the integration of multi-omics data (genetics, epigenetics, and proteomics) and electronic health records to improve risk prediction and our understanding of the biology that underlies cognitive ageing and dementia. Their work is at the intersection of biostatistics, data science, epidemiology, and neuroscience.

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Miguel O. Bernabeu

Miguel O. Bernabeu (Usher Institute) is a Professor of Computational Medicine and Deputy Director of the Bayes Centre is specialised in microvascular biomechanics and mechanobiology.

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Isabelle Hanlon

Isabelle Hanlon is CDT Coordinator responsible for all aspects of administration and operational development of the CDT programme.

Photo of Isabelle Hanlon Biomedical AI CDT Co-ordinator

Ken Scott

Ken Scott is CDT Business Development Manager responsible for supporting and growing the relationships with external industrial partners.

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Emma Pead

Emma Pead is a Senior Data Scientist and heads up the newly created Data Intelligence Hub for the CDT, bringing experience across both academia and industry. Her research has spanned retinal image analysis, clinical data pipelines, AI/ML driven biomarker discovery,  generative AI for synthetic pathology modelling and change detection. She has also developed novel methods for quantifying vascular morphology to predict a range of clinical outcomes. In industry, Emma has worked in a software as a medical device start up as Product Manager, translating research into products, establishing best practices in data science and software development, and leading company-wide compliance for Class II medical devices.

Emma Pead

Mateusz Bieniek

Mateusz (Mat) Bieniek is a Scientific Software Developer with experience across academia and industry, specialising in computational chemistry. He holds a PhD in biophysics and has experience in free energy calculations, force field parameterisation, drug discovery and applying machine learning in the life sciences.

Mateusz (Mat) Bieniek

Vishal Panda

Vishal Panda is a Data Scientist in the Data Intelligence Hub.

Vishal Panda

Piyush Borole

Piyush Borole is a Data Scientist at the Data Intelligence Hub. His research focuses on biomedical AI, with an emphasis on developing accurate and transparent solutions.

Piyush Borole

Sophie Ramette

Sophie Ramette is the Graduate School Manager in the School of Informatics.

Sophie Ramette

Neil Heatley

Neil Heatley is Head of Student Services in the School of Informatics.

Image of Neil Heatley