學院教職員

​教學人員
​Prof. Maggie Haitian WANG 王海天教授

王海天教授

Prof. Maggie Haitian WANG

BSc (HKUST), PhD (HKUST) 

副教授

學術委任

  • 香港中文大學流行病學及生物統計學碩士課程聯席負責人

  • 《人類遺傳學》審稿編輯

個人簡介

王海天博士于2005年在香港科技大學(HKUST)獲得物理學學士學位(榮譽),2011年於HKUST或得統計專業的博士學位。她自2011年加入香港中文大學公共衛生與基層醫療學院開始研究助理教授的工作,並於2015年獲任助理教授,2021年獲任副教授。王博士曾于2009年在哥倫比亞大學和2016年在斯坦福大學做訪問學者。她是多個國家和香港政府項目的主持人,包括國家自然科學基金面上項目(NSFC),青年項目,香港優配研究金(GRF), 香港食物及衛生局研究基金(HMRF)。在學術領域,王海天擔任國際基因流行病學學會的理事,中國資訊學會(籌)理事,以及Human Genetics 的綜述編輯。

研究方向

統計遺傳學和生物信息學

  • Human genome statistical genetics: prediction methods for complex human diseases using omics genetic and genomic data, statistical methods for genetic interactions, epistasis, and association testing

  • Virus evolution: statistical methods for predicting evolutionary trend, estimation of substitution rate, evaluation of key mutations for infectious disease pathogens, codon optimization algorithm, epitope screening, influenza virus and SARS-CoV-2

  • Genetic Epidemiology: GWAS of Alzheimer’s disease in Chinese population, virus genetic epidemiology studies

近期獲資助研究項目

  • PI, Health and Medical Research Fund (HMRF) commissioned research on the Novel Coronavirus Diseases (COVID-19): Characterizing whole genome stability of the novel coronavirus SARS-CoV-2. PI: Maggie Wang, 2020/04/01 – 2023/03/31

  • PI of sub-project, Health and Medical Research Fund (HMRF) 2018/19, Sub-project title: Real-time surveillance of influenza viral evolution and antigenic mutation estimation, 01/09/2019 – 31/08/2022

  • PI, National Natural Science Foundation of China (NSFC) – General Project, Improving prediction accuracy of Alzheimer's Disease by Incorporating a novel feature selection method, 01/01/2019/ - 31/12/2022

  • PI, National Natural Science Foundation of China (NSFC) – General Project, Tracking pattern of amino acids underlying seasonal influenza, 01/01/2015 – 31/12/2018

部份學術文章

  1. Cao L, Lou J, Chan SY, Zheng H, Liu C, Zhao S, Li Q, Mok KP, Chan SY, Chan RWY, Chong MKC, Wu WKK, Chen Z, Wong ELY, Chan PKY, Zee BCY, Yeoh EK, Wang MH* (2022) ​Rapid evaluation of COVID-19 vaccine effectiveness against symptomatic infection with SARS-CoV-2 variants by analysis of genetic distance. Nature Medicine. Accepted (This new statistical genetic framework enables accurate prediction of COVID-19 vaccine effectiveness before new genetic variants enter a population)

  2. Wang MH*, Lou J, Cao L, Zhao S, Chan RW, Chan PK, Chan MC, Chong MK, Wu WK, Wei Y, Zhang H, Zee BC*, Yeoh EK* (2021) Characterization of key amino acid substitutions and dynamics of the influenza virus H3N2 hemagglutinin. Journal of Infection. 2021 Oct 8. (The first genetic epidemiology framework for statistical association testing of key mutations influencing influenza epidemics.) 

  3. Cao L, Lou J, Zhao S, Chan RW, Chan M, Wu WK, Chong MK, Zee BC, Yeoh EK, Wong SY, Chan PK, Wang MH*. In silico prediction of influenza vaccine effectiveness by sequence analysis. Vaccine. 2021 Feb 12;39(7):1030-4. (A novel method to predict vaccine effectiveness by virus and vaccine genetic sequence analysis, allowing the estimation of influenza VE prior to vaccination or infection.)

  4. Xia X, Wu WK, Wong SH, Liu D, Kwong TN, Nakatsu G, Yan PS, Chuang Y, Chan MW, Coker OO, Chen Z, Yeoh YK, Zhao L, Wang X, Cheng WY, Chan MT, Chan PK, Sung JJ, Wang MH*, Yu J*. Bacteria pathogens drive host colonic epithelial cell promoter hypermethylation of tumor suppressor genes in colorectal cancer. Microbiome. 2020 July 16;8(1):1-13.

  5. Wang MH*, Cordell HJ, Van Steen K. Statistical methods for genome-wide association studies. Seminars in cancer biology 2019 Apr 1 (Vol. 55, pp. 53-60). Academic Press.

  6. Chan MC, Wang MH, Chen Z, Hui DS, Kwok AK, Yeung AC, Liu KM, Yeoh YK, Lee N, Chan PK. Frequent Genetic Mismatch between Vaccine Strains and Circulating Seasonal Influenza Viruses, Hong Kong, China, 1996–2012. Emerging infectious diseases. 2018 Oct;24(10):1825.

  7. Wang MH*, Weng H, Sun R, Lee J, Wu WK, Chong KC, Zee BC. A Zoom-Focus algorithm (ZFA) to locate the optimal testing region for rare variant association tests. Bioinformatics. 2017 Aug 1;33(15):2330-6.

  8. Wang MH*, Sun R, Guo J, Weng H, Lee J, Hu I, Sham PC, Zee BC. A fast and powerful W-test for pairwise epistasis testing. Nucleic acids research. 2016 Jul 8;44(12):e115-. (A new statistical method for epistasis testing in GWAS data)

  9. Wang MH*, Chang B, Sun R, Hu I, Xia X, Wu WK, Chong KC, Zee BC. Stratified polygenic risk prediction model with application to CAGI bipolar disorder sequencing data. Human mutation. 2017 Sep;38(9):1235-9.

  10. Sun R, Weng H, Hu I, Guo J, Wu WK, Zee BC, Wang MH*. AW‐test collapsing method for rare‐variant association testing in exome sequencing data. Genetic Epidemiology. 2016 Nov;40(7):591-6.

  11. Wang H, Lo SH, Zheng T, Hu I. Interaction-based feature selection and classification for high-dimensional biological data. Bioinformatics. 2012 Nov 1;28(21):2834-42. (A daring attempt of performing classification/prediction using high-order statistic interactions)

Last Updated: 22 July 2020