Received an NIH Pathway to Independence Award (K99/R00) from the National Human Genome Research Institute (NHGRI) in February 2022 as a Principal Investigator for multi-ethnic disease risk prediction integrating multi-source information on genetic and other risk factors; published papers such as 'PennPRS: a centralized cloud computing platform for efficient polygenic risk score training in precision medicine'.
Research Experience
Worked as a postdoctoral fellow in Dr. Nilanjan Chatterjee's group at the Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health from 2019 to 2023; currently an Assistant Professor of Biostatistics at the University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics.
Education
Ph.D. in Biostatistics from the University of Minnesota, Twin Cities, under the supervision of Drs. Joseph S. Koopmeiners and Lin Zhang; Bachelor's degree in statistics from the School of the Gifted Young, University of Science and Technology of China (USTC).
Background
Research interests focus on developing statistical and computational methods to address cutting-edge problems in public health and medicine by integrating large-scale, multi-source datasets. This includes health equity in disease risk prediction, statistical genetics, Bayesian hierarchical models for high-dimensional, complex-structured data, and statistical data integration.