CHAI Hub Co-Investigators
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Professor Daniel Alexander
University College London
Leads UCL’s Computer Science Department. An imaging science expert, he focuses on healthcare applications. Recognitions include IEEE and Royal Academy of Engineering Fellowships. His academic foundation includes a BA from Oxford and a PhD from UCL.
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Professor Kenny Baillie
University of Edinburgh
Specialises in translational genomics for critical care. He founded Apex, leads global health studies, and develops innovative drug treatments. His academic path includes a physiology BSc and medicine MBChB from Edinburgh. -
Dr Karla Diaz-Ordaz
University College London
Professor at UCL, specialising in causal inference and machine learning for epidemiology and clinical trials. Formerly a Professor at LSHTM, she is a Royal Society-Wellcome Trust Sir Henry Dale Fellow, holds a PhD in Mathematics from Imperial College and an MSc in Medical Statistics from LSHTM.
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Dr Sjoerd Beentjes
University of Edinburgh
A Chancellor’s Fellow at Edinburgh’s School of Mathematics, researches causal inference and non parametric statistics with bio medicine applications. He collaborates with the MRC Human Genetics Unit and UC Berkeley’s School of Public Health. -
Dr Sohan Seth
University of Edinburgh
Lead Data Scientist at the University of Edinburgh's School of Informatics. He directs the Data Science Unit addressing challenges for Science, Health, People, and Environment (SHaPE). He is part of the Advanced Care Research Centre focusing on ageing and multimorbidity.
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Dr Elliot Crowley
University of Edinburgh
A Senior Lecturer at Edinburgh’s School of Engineering and co-leads the Bayesian and Neural Systems group. His research spans machine learning simplification and AutoML. Awarded an EPSRC New Investigator Award.
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Dr Anita Grigoriadis
Kings College London
Specialises in molecular and digital pathology at King’s College London, focusing on the biomarkers and treatment responses of triple negative breast cancer. She co-leads the Spatial Biology Network and is an influential member of multiple cancer research boards.
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Dr Javier Escudero Rodriguez
University of Edinburgh
Leads a biomedical signal processing group at Edinburgh, focusing on brain changes in diseases like Alzheimer's. He joined the university in 2013, and was promoted to Senior Lecturer in 2020. He holds a PhD from Valladolid University. -
Dr Hui Guo
University of Manchester
Reader in Biostatistics at the University of Manchester. Specialising in statistical causal inference, her work focuses on identifying causal genetic and environmental disease risk factors from large observational studies and studying causal pathways and disease networks using multi-omics data.
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Dr Henry Gouk
University of Edinburgh
Lecturer in Machine Learning at the University of Edinburgh’s School of Informatics and co-leads the Bayesian and Neural Systems group. His work focuses on the engineering of AI systems, emphasizing efficiency, robustness, and reliability. -
Professor Yulan He
Kings College London
Specialises in Natural Language Processing at King’s College London and holds a UKRI Turing AI Fellowship. Her work improves reasoning, robustness, and explainability in Large Language Models, focusing on areas like health and finance. She has received multiple prestigious awards in AI research.
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Professor Bruce Guthrie
University of Edinburgh
Professor of General Practice at the University of Edinburgh and Director of Advanced Care Research, specializes in multimorbidity and polypharmacy. An active GP, he shapes health guidelines and contributed to pandemic response policies.
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Dr Stephen Guttinger
University of Exeter
Researches knowledge generation in life sciences, focusing on data reliability and the impact of automation on scientific practices. He philosophically examines molecules, influencing ethics in biotechnology and pandemic responses. -
Dr Ava Khamseh
University of Edinburgh
Lecturer in Biomedical AI at the University of Edinburgh, bridging Informatics and Genetics. Her research focuses on applying causal machine learning and statistics in genomics and health informatics. She is also Deputy Director of the CDT in AI for Biomedical Innovation.
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Professor Ewen Harrison
University of Edinburgh
Leads Surgery and Data Science at the University of Edinburgh and focuses on integrating technology like wearables in low-resource settings. Renowned for his COVID-19 analytics, he received an OBE in 2023 and serves as Consultant HPB Surgeon.
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Dr Yingzhen Li
Imperial College London
An expert in machine learning, with extensive research work on probabilistic modelling, causal discovery and generative AI. As a co-I at CHAI, Dr Li is keen to explore applications of causal ML to the healthcare domain."
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Professor Kia Nazarpour
University of Edinburgh
Professor of Digital Health at the University of Edinburgh, focusing on prosthesis controllers and digital therapeutics. He has industry experience as a senior algorithm engineer and serves on the ORUK Scientific Advisory Committee. He holds a PhD in Signal Processing from Cardiff University.
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Professor Ram Ramamoorthy
University of Edinburgh
Professor of Robot Learning and Autonomy, focusing on the development and use of human-centered AI. He holds a UKRI Turing AI World Leading Researcher Fellowship, and directs the Institute of Perception, Action, and Behaviour. Beyond his academic roles, be has been involved with Five AI (a Robert Bosch GmbH company), developing a technology stack for autonomous vehicles.
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Dr Elina Vasquez Osorio
University of Manchester
Senior Research Fellow at the University of Manchester, specialising in image processing and AI for radiotherapy. She holds a computer science degree from Universidad EAFIT and a PhD from Erasmus University, focusing on computational geometry and deformation modeling.
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Professor Ian Simpson
University of Edinburgh
A Biomedical Informatics expert and Alan Turing Institute Fellow, he directs the UKRI CDT in Biomedical AI. Renowned for his contributions in network and multi-modal data analysis, he serves on several prestigious boards and was elected to the Royal Society of Edinburgh Young Academy.
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Professor William Whiteley
University of Edinburgh
Leads Neurology and Epidemiology at the University of Edinburgh and consults in NHS Lothian, specialising in TIA, stroke, and dementia. He directs the Stroke Data Science Catalyst, leads Scottish Stroke Research, and has established significant clinical training programs.