James B. Duke Distinguished Professor of Electrical and Computer Engineering at Duke University, Fellow of IEEE and SIAM, founding Editor-in-Chief of the SIAM Journal on Imaging Sciences, Senior Research Scientist, Health AI, at Apple.
Senior Staff Research Scientist at DeepMind. Previously worked in the Healthcare Intelligence group at Microsoft Research and was a tenured research fellow at Imperial College London. Research focuses on integrating medical domain knowledge, machine learning and causal modelling frameworks to understand health.
Head of Cellular Genetics at the Wellcome Sanger Institute. Dr Teichmann is an EMBO member and fellow of the Academy of Medical Sciences, and her work has been recognised by a number of prizes, including the Lister Prize, Biochemical Society Colworth Medal, Royal Society Crick Lecture and EMBO Gold Medal.
Meet your professionals
We have world-leading experts in the fields of AI and machine learning to present engaging lectures, offer unique mentorship, and share their visions about the future of healthcare with you.
John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and a Fellow at The Alan Turing Institute in London. In addition to leading the van der Schaar Lab, Mihaela is founder and director of the Cambridge Centre for AI in Medicine (CCAIM)
Consultant Transplant Hepatologist, Chair of the Care Advisory Group, Cambridgeshire & Peterborough Sustainability and Transformation Partnership, will talk about recommendations for the clinical introduction of ML algorithms in publications and clinical practice linked to transplantation
Professor of Computational Biology in the Department of Computer Science at the University of Cambridge, Member of the Artificial Intelligence group of the Computer Laboratory. Will talk about Graph Neural Networks
Assistant Professor in Machine Learning at the University of Cambridge, will talk about uncertainty in deep neural networks
IEEE Fellow and Endowed Chair Professor at the Kim Jaechul Graduate School of AI of the Korea Advanced Institute of Science & Technology (KAIST). Will talk about medical imaging
Vice President, Head of Genome Analytics and Bioinformatics, R&D at AstraZeneca. His background is in human genomics, population genetics, precision medicine and leading large-scale human genomics studies
Faculty member of the UCLA Electrical and Computer Engineering Department since 1991. Associate Dean for Research and Physical Resources of the Henry Samueli School of Engineering and Applied Science
AI/ML Engineer at GSK. She previously completed a DPhil at the University of Oxford in Theoretical Physics, specialising in computational particle theory
One of the van der Schaar lab’s research engineers, and part-time Ph.D. student. Previously AI Resident at Microsoft Research Cambridge. Will show our demonstrators, co-developed with clinicians from various institutions to make our methods come alive.
PhD student at the van der Schaar Lab. He joins the lab following a MASt in theoretical physics and applied mathematics at Cambridge, which he passed with distinction, receiving the Wolfson College Jennings Price
PhD student at the van der Schaar Lab. After obtaining an MSc in Machine Learning at UCL, Zhaozhi Qian started his career as a data scientist in the largest mobile gaming company in Europe. Will talk about Synthetic Data
PhD student at the University of Cambridge Computer Laboratory under the supervision of Prof. Pietro Lio’ and Prof. Mateja Jamnik as part of the Artificial Intelligence Group and the Computational Biology Group
Professor of Respiratory Biology at the University of Cambridge, a Wellcome Trust Senior Investigator, Director of the UK Cystic Fibrosis Innovation Hub, and Co-Director of the Cambridge Centre for AI in Medicine (CCAIM)
Professor of Health Data Science at the University of Cambridge, University Lecturer in Biostatistics, academic director of the MPhil in Epidemiology, Turing Fellow. Will talk about data resources in Healthcare and Biostatistics
Dennis Gillings Professor of Health Management at the Cambridge Judge Business School, and Director of the Centre for Health Leadership & Enterprise.
Principal Researcher at Microsoft Research Cambridge, where she leads the project Azua: Efficient Decision Making. Interests are causal machine learning, deep generative models and approximate inference
Associate Professor in the Department of Electrical and Electronics Engineering and Head of Cognitive Systems, Bandits and Optimization Research Group (CYBORG). Will talk about Multi-Armed Bandits in Healthcare
Associate Professor in the Department of Radiological Sciences and a member of the Medical Imaging & Informatics group. Will talk about Biomedical Informatics
Principal Researcher at Microsoft Research Cambridge, in the Machine Learning and Perception group. His main research interests are machine learning, machine vision, ML for healthcare and information extraction
Fourth-year PhD student at the University of Oxford and at the Alan Turing Institute, advised by Prof. Mihaela van der Schaar. Research focuses on building machine learning methods for improving and understanding decision making
Senior AI/ML Engineer at GSK. Previously, she was a doctoral researcher and associate faculty member at the Wolfson Institute for Biomedical Research at UCL, where she also received her PhD
Senior Research Associate at the Department of Computer Science and Technology at the University of Cambridge. He is also Co-Founder of Bias Variance Labs and a Research Associate at the Jozef Stefan Institute in Ljubljana
PhD student at the van der Schaar Lab. She recently completed an MSc in Statistical Science at the University of Oxford, where she graduated with distinction and was awarded the Gutiérrez Toscano Prize. Will talk about personalised treatment effects
PhD student at the van der Schaar Lab. He joined from the Vrije Universiteit Brussel (VUB). Prior to this, he analysed traffic data at 4 of Belgium’s largest media outlets and performed structural dynamics analysis at BMW Group in Munich
Consultant and Researcher in anaesthesia and intensive care, Fellow in Clinical Medicine at Magdalene College, will teach about ML for intensive care.
University Lecturer in Renal medicine at the University of Cambridge, Honorary consultant in nephrology and transplantation, Cambridge University Hospitals NHS Foundation Trust. Will talk about clinical problems and present practical demonstrators
Assistant Professor in the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics (DPMMS) at University of Cambridge, will talk about causal inference
Honorary Professor of Pharmacology & Therapeutics at the University of Liverpool. Former Global head of Clinical Pharmacology at Roche
SVP, Global Head, AI/ML at GSK, based in San Francisco. Kim leads the GSK.ai team, a global organisation of nearly 100 machine learning researchers and engineers who are pioneering the application of AI to drug discovery and development.
Postdoc at the ECE Department, University of California, Los Angeles (UCLA), working with Mihaela van der Schaar in her lab
Research scientist at DeepMind in London, UK. He was previously a postdoctoral scholar at Columbia University sponsored by Professor Elias Bareinboim. Will talk about Knowledge Transfer
PhD student in Machine Learning at Mila and the University of Montreal, with Prof Jian Tang. She is broadly interested in how learning can be improved through the use of graph representations
Research engineer at the van der Schaar Lab since 2021. He received his bachelor’s degree in computer science in 2012 and his master’s degree in distributed systems in 2014, both from the University of Bucharest. Prior to joining the van der Schaar Lab, Bogdan worked for roughly 10 years at a cybersecurity company.
PhD student in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. He is supervised by Professor Mihaela van der Schaar. Will talk about Clinical Trials
PhD student at the University of Cambridge working on machine learning problems for healthcare, supervised by Pietro Liò. She is part of the AI group in the computer science and technology department, but she is originally from a medical background
Renowned speakers and mentors
We are your providing Summer School participants with engaging talks and up to 1 hour a day of mentorship for students working on our workshop projects. Click the link to our Program to find out more about what we have in store for you!