AI for Affordable Healthcare

Dr. Chris Paton is the Head of the Global Health Informatics Group at the University of Oxford. His group conducts research and provides consultancy about how new digital health technologies such as Electronic Health Records (EHRs), mHealth apps and new machine learning techniques can be used to improve healthcare. Following his training as a medical doctor in the UK, he moved into Clinical Informatics and worked as a Senior Research Fellow at the National Institute for Health Innovation in New Zealand before returning to the UK to join the University of Oxford. He was elected as a Fellow of the UK Faculty of Clinical Informatics in 2018 and became a Founding Fellow of Parks College in 2019 where he is the Official Fellow for IT and Innovation.

Dr. Edward Choi is a Software Engineer in Google Health Research, focusing on research and development of machine learning methods for healthcare, especially regarding electronic health records. He received his bachelor’s degree in Seoul National University and his master’s degree in KAIST. Before he started his PhD, Edward was a researcher in ETRI, working on natural language processing and big data analytics. He received his PhD in Georgia Tech, where he worked with Dr. Jimeng Sun on interpretable deep learning for modeling electronic health records. His current research interest is developing deep learning approaches on longitudinal electronic health records to learn effective patient representations and predict future medical events.

Prof. Sotirios A. Tsaftaris is currently Canon Medical/Royal Academy of Engineering Research Chair in Healthcare AI, and Chair in Machine Learning and Computer Vision at the University of Edinburgh (UK). He is also a Turing Fellow with the Alan Turing Institute. Previously he held faculty positions with IMT Institute for Advanced Studies Lucca (Italy) and Northwestern University (USA). He has published extensively, particularly in interdisciplinary fields, with more than 140 journal and conference papers in his active record. His research interests are machine learning, computer vision, image analysis and processing.