Joseph Wu
Professor at The University of Hong Kong
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Biography
Biography
Professor Joseph Wu specializes in mathematical and statistical modelling of diseases. His research aims are: (i) to develop practical analytics and strategies for disease control and prevention; and (ii) to translate research findings into policies and practice for improving health. He has worked on COVID-19, seasonal and pandemic influenza, hand-foot-and-mouth diseases, HPV, MERS, yellow fever, cervical cancer, colorectal cancer and breast cancer. He earned his PhD (Operations Research) and BS (Chemical Engineering) from MIT.
Professor Wu is a lead scientist in the Laboratory of Data Discovery for Health (D24H). His research program in D24H aims to develop AI technology and tools for global and personal health protection, with a particular focus on vaccine hesitancy and multiplex antibody profiling.
He is the director of: (i) HKU's first Massive Open Online Courseware (MOOC) Epidemics which has had more than 40,000 people enrolled since its first launch in 2014; and (ii) the Croucher Summer Course Vaccinology for Public Health and Clinical Practice in the 21st Century.
He is a co-editor-in-chief of Epidemics and an associate editor of PLOS Computational Biology and PLOS Neglected Tropical Diseases. He is a member of the WHO Advisory Committee on Immunization and Vaccines-related Implementation Research (IVIR-AC). He is a member of the MIT SOLVE Challenge Leadership Group and an SME advisor of MIT HK Innovation Node. He is a Fellow of the UK Faculty of Public Health.
AWARDS
- Clarivate Highly Cited Researcher (2021)
- HKU Outstanding Young Researcher Award (2015)
- HKU Research Output Prize (2015 and 2017)
- HKUMed Outstanding Research Output Award (2014, 2017, 2018, 2019, 2021)
- Georgia Cancer Coalition Distinguished Cancer Scholar (2003)
Selected Publications
- Wu JT, Leung K, Bushman M, Kishore N, Niehus R, M de Salazar P, Cowling BJ, Lipsitch M, Leung GM. Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China. Nature Medicine. 2020.
- Wu JT, Leung K, Leung GM. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet; 395(10225): 689–697. doi:10.1016/S0140-6736(20)30260-9 (2020).
- Wang L, Wu JT. Characterizing the dynamics underlying global spread of epidemics. Nature Communications, 9(1):218 (2018).
- Leung K, Lipsitch M, Yuen KY, Wu JT. Monitoring the fitness of antiviral-resistant influenza strains during an epidemic: a mathematical modelling study. The Lancet Infectious Diseases, 17(3): 339-347 (2017).
- Wu JT, Peak C, Leung GM & Lipsitch M. Fractional Dosing of Yellow Fever Vaccine to Extend Supply: A Modeling Study. The Lancet. doi: 10.1016/S0140-6736(16)31838-4 (2016).
- Wu JT, Jit, M, Zheng, Y, Leung, K, Xing, W, Yang, J, Liao, Q, Cowling, BJ, Yang, B, Lau, EH, Takahashi, S, Farrar, JJ, Grenfell, BT, Leung, GM & Yu, H. Routine Pediatric Enterovirus 71 Vaccination in China: a Cost-Effectiveness Analysis. PLoS Medicine 13, e1001975, doi:10.1371/journal.pmed.1001975 (2016).
- Wu JT, Ho, A, Ma, ES, Lee, CK, Chu, DK, Ho, PL, Hung, IF, Ho, LM, Lin, CK, Tsang, T, Lo, SV, Lau, YL, Leung, GM, Cowling, BJ & Peiris, JS. Estimating Infection Attack Rates and Severity in Real Time during an Influenza Pandemic: Analysis of Serial Cross-Sectional Serologic Surveillance Data. PLoS Medicine 8, e1001103, doi:10.1371/journal.pmed.1001103 (2011).
- Wu JT, Lee, CK, Cowling, BJ & Yuen, KY. Logistical feasibility and potential benefits of a population-wide passive-immunotherapy program during an influenza pandemic. Proceedings of the National Academy of Sciences of the United States of America 107, 3269-3274, doi:10.1073/pnas.0911596107 (2010).
- Wu JT, Leung, GM, Lipsitch, M, Cooper, BS & Riley, S. Hedging against antiviral resistance during the next influenza pandemic using small stockpiles of an alternative chemotherapy. PLoS Medicine 6, e1000085, doi:10.1371/journal.pmed.1000085 (2009).
- Wu JT, Riley, S, Fraser, C & Leung, GM. Reducing the impact of the next influenza pandemic using household-based public health interventions. PLoS Medicine 3, e361, doi:10.1371/journal.pmed.0030361 (2006).
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