Academic Leads
Professor Zoe Kourtzi, Professor of Experimental Psychology
My research in cognitive computational neuroscience sits at the interface of computational science and neuroscience. My experimental work aims to understand the role of lifelong learning and brain plasticity in enabling individuals of all ages to flexibly adapt to new settings and challenges. My computational work aims to develop predictive AI-guided models of brain and mental health with translational impact in early diagnosis of neurocognitive disorders and personalised interventions. I am a Royal Society Industry Fellow, Co-director of Cambridge’s Centre for Data Driven Discovery, Fellow and Cambridge University Lead at the Alan Turing Institute.
Dr Anna Moore Winter, Assistant Professor in Child Psychiatry and Medical Informatics
My research areas are in Mental Health, Bioinformatics, Artificial Intelligence, Machine Learning, Data Science, Genetics, Informatics Infrastructure and my goal is to develop a range of novel digital tools to support personalised, preventative clinical pathways for children’s mental health. To support this, I am also building a digital hub designed to support AI development for children’s health. I am a UKRI Future Leaders Fellow, Assistant Professor in Child Psychiatry and Medical Informatics in the Department of Psychiatry, University of Cambridge, Consultant Child Psychiatrist at Cambridge & Peterborough NHS Foundation Trust, Associate Director Centre for Human Inspired AI. Previously I was the Director of Mental Health at UCL Partners and NHS Innovation Accelerator Fellow.
Professor Pietro Lio, Professor of Computer Science
My research areas are in Artificial intelligence and computational biology. My Current focus is on Graph Neural Network modeling. My work focus on developing Artificial Intelligence and Computational Biology models to understand diseases’ complexity and to address personalised and precision medicine. I am a Full Professor at the Department of Computer Science and Technology, University of Cambridge, a member of the Artificial Intelligence Group and of the Cambridge Centre for AI in Medicine, a fellow and member of the Council of Clare Hall College, and a member of Ellis (the European Lab for Learning & Intelligent Systems).
Post Doctoral Science Leads
Dr Liz Yuanxi Lee, Research Associate
My research centres on developing computational models that integrate genetic, neuroimaging, and behavioural data to uncover neurogenetic phenotypes related to brain plasticity and mental health. Specifically, I use machine learning and computational modeling to investigate the mechanisms of cognitive decline and predict changes in cognitive function among adults and the elderly. I am a Gates Sr AD Fellow with the Alzheimer's Disease Data Initiative and a postdoctoral researcher in the Department of Psychology at the University of Cambridge.
Dr Rachel Sippy, Research Associate
My research areas are Epidemiology, Biostatistics, Machine Learning, Data Science, and Global Health. I am interested in improving data access and data quality to facilitate public health decision-making, improving health services and further health solutions. My approach is to source the right data for each problem, by considering data collection processes and measurements, addressing biases, and incorporating context. I am a Research Fellow at Clare Hall and a member of the Society for Epidemiologic Research.
Dr Soumya Banerjee, Senior Research Associate
I analyze complex problems and implement new statistical and machine learning techniques for deriving insights from large amounts of data. My research is in the field of complex systems. I apply explainable Artificial Intelligence (xAI) and mathematical modelling to understand complex systems. I also apply machine learning to the field of healthcare. I am a senior research fellow and affiliated lecturer at the University of Cambridge. In a previous life I was a researcher at the University of Oxford and Harvard University and have worked in India, USA, Australia and Germany.
Programme Manager
Angela Godoy
I am the programme manager for the Brain Health AI-deas Hub. I have extensive clinical trial management experience and have worked in various disease areas, within a number of UK institutions. More recently I have managed research programmes within the University of Cambridge, initially in cancer research, and also supporting interdisciplinary research in AI, machine learning and data science across the University.