Department of Statistics and the College
Jingshu Wang’s research focuses on developing statistical methods and computational tools for analyzing data from new biotechnologies and solving problems related to genetics and public health. Her recent work includes denoising single-cell RNA sequencing data with deep transfer learning, modeling structural variations in the 3-D genome data, estimating the causal effect of disease risk factors through genetic variants, removing batch effects, and detecting replicating signals in high-throughput experiments.
Her research has been published in scientific journals that include Nature Methods, Proceedings of the National Academy of Sciences, and International Journal of Epidemiology, as well as statistical journals such as Annals of Statistics, Journal of the American Statistical Association, and Statistical Science.
Wang earned a PhD in statistics from Stanford University and a BS in mathematics and applied mathematics from Peking University. She was a postdoctoral researcher in the Wharton Statistics Department at the University of Pennsylvania.