• Teaching & Learning

    • Dr MA Wen （馬文博士）
    Lecturer
    Department of Computer Science

    電話 : (852) 3963 5099
    電郵 :
    wenma@hsu.edu.hk


    Ma Wen has a B.S. in Software Engineering from Shandong University, an M.S. in Computer Science from the University of Hong Kong, and a Ph.D. in the Department from PAED in LKS Medicine Faculty at the University of Hong Kong. Her areas of expertise involve bioinformatics, artificial intelligence, disease risk  prediction, computer science and statistical analysis. During her research, she worked on applying computer knowledge, mainly artificial intelligence, to help prognosis and diagnosis of complex diseases, such as cancer and SLE. In collaboration with Queen Mary Hospital, significant improvements have been achieved in both early diagnosis and prognosis of complex diseases (e.g., risk prediction for the development of systemic lupus erythematosus) compared to traditional methods  (polygenic risk scoring models). In life, she enjoys artistic activities and is the president of the artistic society affiliated with HKU PGSA in 2021-2022.

    TopSelected Publications
    • Ma, W., Lau, Y., Yang, W. and Wang, Y., 2022. Random forests algorithm boosts genetic risk prediction of systemic lupus erythematosus. Frontiers in genetics, 13.
    • Chan, K.W., Wong, A., Leung, D., Yang, X., Fok, S.F., Mak, P.H., Yao, L., Ma, W., Mao, H., Zhao, X. and Liang, W., 2022. Targeted gene Sanger sequencing should remain the first-tier genetic test for children suspected to have the 5 common X-linked inborn errors of immunity. Frontiers in Immunology, p.3335.
    • Kwok, J., Tang, W.H., Chu, W.K., Chan, Y.S., Liu, Z., Yang, W., Ip, P., Ma, W., Lee, C.K. and Middleton, D., 2020. High resolution allele genotyping and haplotype frequencies for NGS based HLA 11 loci of 5266 Hong Kong Chinese bone marrow donors. Human Immunology, 81(10-11), pp.577-579.
    • Luo, R., Ma, W. and Lam, T.W., 2018. Restricted Boltzmann Machine and its Potential to Better Predict Cancer Survival. Biomedical Journal of Scientific & Technical Research.