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This symposium aims to demonstrate the capacity of the HKU-IDS and its potential in using AI and healthcare big data to promote public health, informed policy and strategic planning; and to advance research of new therapies and clinical utilities.


A series of pre-recorded workshop will be available to watch online starting from Aug 21.
You are also welcomed to join in a live Q&A session on Aug 29 and Sep 1 to interact with our lecturers!

Topic & Speaker
A) Workshop on AI and Big Data Methodology in Health and Medical Sciences
– Dr. Zhonghua Liu
(Assistant Professor, Department of Biostatistics, Columbia University)
Genome-wide Cross-trait Analysis of COVID-19 with Rheumatoid Arthritis,
Systemic Lupus Erythematosus and Venous Thromboembolism

– Dr. Lequan Yu
(Assistant Professor, Department of Statistics & Actuarial Science,
Faculty of Science, HKU)
AI for Medical Imaging: Applications and Beyond

– Dr. Chao Huang
(Assistant Professor, Department of Computer Science, Faculty of Engineering,
and Institute of Data Science, HKU)
Graph Representation Learning for Healthcare Applications

B) Epidemiology in the Era of Big Data
– Dr Celine Chui
(Assistant Professor, School of Nursing, LKS Faculty of Medicine, HKU)
Alternative study design using Big Data

– Dr Francisco Lai
(Research Assistant Professor, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, HKU)
Cohort and Case-Control Studies using Big Data

– Dr Angel Wong
(Assistant Professor, Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine)
Evaluation and interpretation of electronic health record data

C) Bioinformatics / Pharmacogenetics
– Dr CL Cheung
(Associate Professor, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, HKU)
Pharmacogenetics: basic principles and clinical applications

– Dr Ryan Au Yeung
(Assistant Professor, School of Public Health, LKS Faculty of Medicine, HKU)
The value of Mendelian randomization in causal inference

– Dr Clara Tang
(Assistant Professor, Department of Surgery, LKS Faculty of Medicine, HKU)
Genomic medicine and congenital disorders: from bench/computer to bedside


Prominent speakers, both local and overseas, will share their expertise in state-of-art AI technology and interdisciplinary collaborative projects in using big data to improve public health.


Invited local speakers will showcase their healthcare big data projects associated with HKU, including the latest applications of AI technology, bioinformatics, industry or government funded projects on cardiovascular diseases, osteoporosis, Covid-19 vaccines safety and effectiveness. Our speakers will also share their perspective on healthcare big data collaboration in the Greater Bay Area.


Session 1 – 30 Aug (Tue)
10:00 AM – 10:45 AM
Keynote on Radiology, Medical imaging and biomedical informatics research
10:45 AM – 11:45 AM
Showcase 1

Session 2 – 30 Aug (Tue)
1:30 PM – 2:15 PM
Keynote on Latest development of genetic bioinformatics in Hong Kong
2:15 PM – 3:15 PM
Showcase 2

Session 3 – 30 Aug (Tue)
3:30 PM – 4:15 PM
Keynote on UK’s perspective in big data research and the development of Health Data Research UK
4:15 PM – 5:15 PM
Showcase 3

Session 4 – 31 Aug (Wed)
9:30 AM – 10:15 AM
Keynote on Latest development of International big data collaboration
10:15 AM – 11:15 AM
Showcase 4


Dr. 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 AIMI Center at Stanford University. 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, 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 RSNA as Liaison for Information Technology. He has founded 3 healthcare IT companies, which was acquired by Nuance Communications in 2016.
Prof. Andrew Morris
Director @Health Data Research UK
Prof. Morris became the inaugural Director of Health Data Research UK in August 2017. He convenes the International COVID 19 Data Alliance supported by the Bill and Melinda Gates Foundation and Minderoo Foundation. He is seconded 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 and was previously Governor of the Health Foundation(2009-2017) and chaired the Informatics Board at UCLPartners, London(2014-2017). In 2007 he co-founded Aridhia Informatics and is a Fellow of the Royal Society of Edinburgh and the Academy of Medical Sciences.
Prof. Pak Sham
Chair Prof, Psychiatric Genomics & Co-director, State Key Laboratory of Brain & Cognitive Sciences @The University of Hong Kong
Prof. Sham 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.
For information, please contact:
Ms. Nicole Fung