Zihuai He


I received my PhD from the University of Michigan in 2016. Following a postdoctoral training in biostatistics at Columbia University, I joined Stanford University as an assistant professor of neurology and of medicine in 2018. I am a data scientist with over 10 years of experience leading research in biostatistics, statistical genetics, and integrative analysis of omics data. My current methodological work focuses on statistical inference in high-dimensional and large-scale testing problems, incorporating rigorous feature selection into machine learning methods, and translating data-driven discoveries into mechanistic insights and drug targets.

Current Position

    • Assistant Professor

    • Quantitative Sciences Unit

    • Department of Neurology & Neurological Sciences

    • Department of Medicine (Biomedical Informatics Research)

    • Stanford University

Education and Training

    • 2016 -- 2018 Postdoctoral Research Scientist Biostatistics Columbia University

    • 2012 -- 2016 Ph.D. Biostatistics University of Michigan

    • 2006 -- 2010 B.S. Mathematics and Physics Tsinghua University

Research Interests

Statistical Methodology

    • Statistical genetics and integrative analysis of omics data

    • High dimensional data analysis

    • Interpretable/explainable machine learning

Application Areas

    • Neurological disorders

    • Functional genomics

    • Next generation sequencing data analysis


    • 2015 Rackham Pre-doctoral Fellowship Award University of Michigan

    • 2013 - 2015 Rackham Conference Travel Grant University of Michigan

    • 2013 Best Performance on the Qualifying Exam Department of Biostatistics, University of Michigan