Stony Brook University, BS in Applied Mathematics and Statistics, Minor in Computer Science, 2015
Harvard T.H. Chan School of Public Health, MS in Biostatistics, 2017

Ming’s doctoral research focuses on data integration of next-generation sequencing (NGS) and its application to complex human diseases, supervised by Professor Zheyang Wu. With both statistics and computing backgrounds, her research interest lies to applying the power of statistics methods and efficient algorithms to detect novel genetic factors for diseases. Prior to joining in WPI BCB program in 2019, she worked for Brigham and Women’s Hospital as a bioinformatician.

Scholarly Work

Dong, J., Ma, Y., Leng, K., Wei, L., Wang, Y., Su, C., Liu, M. and Chen, J., 2020. Associations of urinary di-(2-ethylhexyl) phthalate metabolites with the residential characteristics of pregnant women. Science of The Total Environment, 707, p.135671.
Srinivasan, S.; Cui, H.; Gao, Z.; Liu, M.; Lu, S.; Mkandawire, W.; Narykov, O.; Sun, M.; Korkin, D., 2020. Structural Genomics of SARS-CoV-2 Indicates Evolutionary Conserved Functional Regions of Viral Proteins. Viruses, 12(4), p.360.
Brown, S.M., Duggal, A., Hou, P.C., Tidswell, M., Khan, A., Exline, M., Park, P.K., Schoenfeld, D.A., Liu, M., Grissom, C.K. and Moss, M., 2017. Nonlinear Imputation of PaO2/FIO2 From SpO2/FIO2 Among Mechanically Ventilated Patients in the ICU: A Prospective, Observational Study. Critical Care Medicine, 45(8), p.1317.