Professor Qingpeng ZHANG

Associate Professor
HKU Musketeers Foundation Institute of Data Science and Department of Pharmacology and Pharmacy, HKU

Professor Qingpeng Zhang is an Associate Professor in the Musketeers Foundation Institute of Data Science and the Department of Pharmacology and Pharmacy at HKU. He received the B.S. degree in Automation from Huazhong University of Science and Technology in 2009, and the M.S. and the Ph.D. degrees in Systems and Industrial Engineering (minor in Management Information Systems) from the University of Arizona, in 2011 and 2012, respectively. Prior to joining HKU in 08/2023, he was an Associate Professor with the School of Data Science at The City University of Hong Kong (CityU). He previously worked as a Postdoctoral Research Associate in the Tetherless World Constellation, Department of Computer Science at Rensselaer Polytechnic Institute. He is a Senior Member of IEEE, a Fellow of the Royal Society of Medicine, and an associate/academic editor for npj Digital Medicine, BMJ Mental Health, INFORMS Journal on Data Science, IEEE TITS, IEEE TCSS, Journal of Alzheimer’s Disease (2021), and PLoS ONE. He was a theme issue editor for Philosophical Transactions of the Royal Society A: Mathematical and Engineering Sciences and the guest editor for a number of other journals. He is on the executive committee of the International Society of Digital Health, Hong Kong Society of Behavior Health, Systems Engineering Society of China, and the Hospital IoT Branch of China Association of Medical Equipment. His research interests include medical informatics, AI in drug discovery, healthcare data analytics and network science. His research has been published in leading journals such as Nature Human Behaviour, Nature Communications, PNAS, and MIS Quarterly, as well as featured in press such as The Washington Post, The New York Times, BBC, The Times, The Guardian and Ming Pao. He received The President’s Award (2022) and the Outstanding Research Award for Junior Faculty (2021) from CityU and the Andrew P. Sage Best Transactions Paper Award (2021) from IEEE Systems, Man, and Cybernetics Society.