Dr He Daihai Associate Professor
何岱海博士

Location TU804, Yip Kit Chuen Bldg.
Phone +852 2766 7864
mail daihai.he@polyu.edu.hk
stream Personal Website

ORCID ID
SCOPUS ID









Biography Dr He is an Associate Professor of the Department of Applied Mathematics at The Hong Kong Polytechnic University. He earned a Ph.D. in Engineering from Xi’an Jiaotong University in 1999 and a Ph.D. in Mathematics from McMaster University in Canada in 2006. He also did post-doctoral research in Beijing Normal University (China), University of Michigan (USA), and Tel Aviv University (Israel). His main research interests are infectious disease modelling and statistical analysis of medical data. More than 140 papers have been published in journals such as Science Advances, Annal of Internal Medicine, European Respiratory Journal, Journal of the Royal Society Interface, and the research results have been widely reported in media. His modelling of yellow fever in Angola Africa won the second place in the 2018 International Society for Disease Surveillance’s Best Scientific Contribution Paper; He has several highly cited papers on the study of COVID-19. The study on the typhus epidemic in the Warsaw Ghetto during World War II received more than 100 news reports. He received funding from General Research Fund, Collaborative Research Fund from the Hong Kong Research Grants Council, AIDS Trust fund, Health and Medical Research Fund, and the Alibaba (China) Co. Ltd. Cooperative Research Fund.



Education and Academic Qualifications Doctor of Philosophy, McMaster University
Doctor of Engineering, Xi'an Jiaotong University
Bachelor of Engineering, Xi'an Jiaotong University




Research Interests
Mathematical Epidemiology
Statistical Inference of Stochastic Process




Honor and Awards Departmental Best Paper Award,Department of Applied Mathematics, The Hong Kong Polytechnic University,2011/2012, 2014/2015, 2017/2018
Meritorious Winner, Mathematical Contest In Modelling, 2015 and 2019(as faculty advisor)
Outstanding Research Articles in Biosurveillance Award (second place) by the International Society of Diseases Surveillance.