Jiwei Zhao
Associate Professor · School of Medicine & Public Health, School of Computer, Data & Information Sciences · University of Wisconsin--Madison
⭐ The group is consistently looking for self-motivated researchers (postdocs [position.pdf], PhD students, Master students, and undergrads) with strong statistical and/or computational skills to join us. For prospective PhD students, please consider applying Statistics PhD program with Statistics option, or Statistics PhD program with Biostatistics option, both administered by the Department of Stat
Research interests
Jiwei Zhao's research focuses on applying semiparametric techniques to understand the complex structure of modern biomedical data sets, usually in the pursuit of efficiency, robustness, and the tradeoff between the two. Specifically, his work has concentrated in the fields of: distribution shift, domain adaptation and transfer learning, weakly supervised machine learning (semi-supervised, label noise, etc.), missing data analysis and causal inference. He also conducts research on developing trustworthy statistical inference methods for AI-predicted data and, more broadly, for synthetic data, with a focus on reliability, robustness, and principled uncertainty quantification.
Is Jiwei Zhao a match for your research?
Upload your CV and get matched to professors who fit — with hiring signals.
Start matching