Curtis P. Langlotz, MD, PhD
Professor, Radiology & Biomedical Informatics & Director of the Center for Artificial Intelligence in Medicine and Imaging @Stanford University
Dr. Langlotz is Professor of Radiology and Biomedical Informatics and Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center) at Stanford University.
The AIMI Center comprises over 140 Stanford faculty from 20 departments who conduct interdisciplinary machine learning research that optimize how clinical data are used to promote health. Dr. Langlotz’s laboratory investigates the use of deep neural networks and other machine learning technologies to help physicians detect disease and eliminate diagnostic errors. He has led many national and international efforts to improve medical imaging, including the Medical Imaging and Data Resource Center (MIDRC), a U.S. national COVID-19 imaging research repository.
As Associate Chair for Information Systems and a Medical Informatics Director for Stanford Health Care, he is responsible for the computer technology that supports the Stanford Radiology practice, including 7 million imaging studies that occupy 0.7 petabytes of storage. He currently serves on the Board of Directors of the Radiological Society of North America (RSNA) as Liaison for Information Technology. He has founded three healthcare IT companies, including Montage Healthcare Solutions, which was acquired by Nuance Communications in 2016.
Professor Andrew Morris
Director, Health Data Research UK
Director @Health Data Research UK
Professor Andrew Morris became the inaugural Director of Health Data Research UK in August 2017, the UK’s national Institute for health data science. Its mission is to unite the UK’s health data to improve people’s lives and is supported by 12 funders. He also convenes the International COVID 19 Data Alliance (ICODA) supported by the Bill and Melinda Gates Foundation and Minderoo Foundation. He is seconded from his position as Professor of Medicine, and Vice Principal of Data Science at the University of Edinburgh, having taken up position in August 2014. Prior to this Andrew was Dean of Medicine at the University of Dundee.
Andrew was Chief Scientist at the Scottish Government Health Directorate (2012-2017) and has served and chaired numerous national and international grant committees and Governmental bodies.
His research interests span informatics and chronic diseases. He has published over 350 original papers,
Andrew was previously Governor of the Health Foundation (2009-2017), a leading UK charity that supports quality improvement in health care, and chaired the Informatics Board at UCLPartners, London (2014-2017). In 2007 he co-founded Aridhia Informatics, which uses high performance computing and analytics in health care.
He is a Fellow of the Royal Society of Edinburgh and the Academy of Medical Sciences.
Professor Pak Chung SHAM
Chair Prof, Psychiatric Genomics & Co-director, State Key Laboratory of Brain & Cognitive Sciences @The University of Hong Kong
Pak Chung SHAM is Chair Professor of Psychiatric Genomics and Co-director of the State Key Laboratory of Brain and Cognitive Sciences at The University of Hong Kong. He studied Medicine at Cambridge and Oxford Universities, and subsequently trained in Psychiatry at the Bethlem Royal and Maudsley Hospitals in the London. In 2000, He was appointed Professor of Psychiatric and Statistical Genetics at the MRC Social, Genetic and Developmental Psychiatry Research Centre at King’s College London. He was the Head of Department of Psychiatry, The University of Hong Kong from 2007 to 2011, and served as the Director of the Centre for Genomic Sciences from 2011 to 2019. Professor Sham has developed new statistical methods for the analysis of genetic data, and applied such methods to study the etiology of psychiatric disorders and other complex disorders.
Patrick Ryan, PHD
Vice President, Observational Health Data Analytics @Janssen Research and Development
Patrick is also an original collaborator in Observational Health Data Sciences and Informatics, interdisciplinary collaborative to create open-source solutions that bring out the value of observational health data through large-scale analytics. He served as a principal investigator of the Observational Medical Outcomes Partnership, which chaired by the Food and Drug Administration, where he led methodological research to assess the appropriate use of observational health care data to identify and evaluate drug safety issues. Patrick received his undergraduate degrees in Computer Science and Operations Research at Cornell University, his Master of Engineering in Operations Research and Industrial Engineering at Cornell and his PhD in Pharmaceutical Outcomes and Policy from University of North Carolina at Chapel Hill. Patrick has worked in various positions within the pharmaceutical industry at Pfizer and GlaxoSmithKline and also in academia at the University of Arizona Arthritis Center.