Principal Investigator

Zhanwei Du

Research Assistant Professor

Dr. Zhanwei Du is a Research Assistant Professor at the School of Public Health at the University of Hong Kong and a Co-Investigator for Programme 3 of the Laboratory of Data Discovery for Health (D²4H) at Hong Kong Science Park, Hong Kong. His general research area is applied machine learning and artificial intelligence in health care and public health, focusing on employing complex network analysis, statistical machine learning algorithms, and computer simulations to understand human behavior and model disease transmission on different scales. He works on the within-host level (immune response, pathogens change, therapeutic interventions) and the population level (surveillance, prediction, evolution). The goal of his work is to help design infectious disease intervention and control strategies.

Group Member

Ruohan Chen

MPhil student (Supervisor)

Ruohan Chen is an MPhil student enrolled in HKU Public Health in Fall 2023. She holds a bachelor's degree in data science. Since August 2022, she has been working as an intern in Dr. Du's team, assisting with research. Her current work primarily analyzes and predicts emerging infectious diseases such as COVID-19 and influenza.

Caifen Liu

PhD student (Co-supervisor)

Caifen Liu is a PhD student focusing on epidemiology and biostatistics at the School of Public Health at the University of Hong Kong. Her research interest lies in using mathematical and statistical methods to analyze infectious disease data, aiming to gain insights into the dynamics and severity of infection. Most recently, she has worked on assessing the transmission and burden of COVID-19 and modeling the relationship between in-vitro neutralization levels and observed efficacies.

Songwei Shan

PhD student (Co-supervisor)

Songwei Shan received her BS degree and Master's degree from the Department of Computer Science and Technology at Peking University. She is a Ph.D. student at the School of Public Health at the University of Hong Kong. Her research topic focuses on the epidemiology of respiratory syncytial virus (RSV), including its seasonality, disease burden, and the cost-effectiveness analysis of monoclonal antibodies and vaccines.

Xiao Zhang

Research Assistant

Xiao Zhang obtained his M.Sc. in Computer Science and Technology from Shenzhen University, Shenzhen, China, in 2020. He is currently a research assistant in the Laboratory of Data Discovery for Health (D24H), focusing on infectious disease modeling. His work involves modeling infectious diseases using mathematical statistics and computer programming.

Zengyang Shao

Research Assistant

Zengyang Shao received his BS and Master’s degrees from Shenzhen University, Shenzhen, China, in 2019 and 2022, respectively. He is a research assistant in the Laboratory of Data Discovery for Health Limited, Hong Kong. His research focused on epidemic modeling, effect analysis of non-pharmaceutical interventions, and the relationship between virus genetics and epidemic, including the modeling of vaccine effectiveness and genetic distance antigenic transitions of virus.

Google Scholar:https://scholar.google.com.hk/citations?hl=en&user=de4fBfwAAAAJ

Yushuang Chen

Research Assistant

Yushuang Chen is a Research Assistant at the School of Public Health at the University of Hong Kong. She is a statistician with a demonstrated history of working in higher education. As a research assistant, her work involves assisting in project management and creating collaborations.

Chijun Zhang

Visiting Scholar

Chijun Zhang is a visiting scholar at the School of Public Health, University of Hong Kong. She received her Ph.D. in Computer Application Technology from Jilin University in 2012 and currently works as a Professor at Jilin University of Finance and Economics. Her current research involves using deep learning and reinforcement learning methods to solve logistics site selection and emergency resource allocation problems.

Jianbo Wang

Visiting Scholar

Jianbo Wang is a visiting scholar at the School of Public Health, The University of Hong Kong. He received his Ph.D. from Fudan University in June 2019 and works as an assistant professor in the School of Computer Science at Southwest Petroleum University (SWPU). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and models of infectious disease agent study (Midas). His current research focuses on network spreading dynamics, machine learning, and intelligent algorithms. He has extensive research experience and a strong foundation in computational (spatial) epidemiology, intelligent algorithm design, and other related fields. He is dedicated to proposing original algorithms and theories to solve scientific problems in both theoretical and engineering interdisciplinary fields. He has proposed two original algorithms (ipi-si and ipi-sir algorithms) to effectively infer the invasion pathways of epidemics spreading in meta-population networks.

ALUMNI

CS-EPI GroupHKU-SPH - School of Public Health, The University of Hong Kong
G/F, Patrick Manson Building (North Wing), 7 Sassoon Road, Pokfulam, Hong Kong D²4H - Laboratory of Data Discovery for Health Limited
Units 1201-1206, 1223 & 1225, 12/F, Building 19W, 19 Science Park West Avenue, Hong Kong
Science Park, Pak Shek Kok, New Territories, Hong Kong