I am a tenure-track Assistant Professor of Biostatistics at Columbia University Mailman School of Public Health and an affiliated member of the Columbia Data Science Institute. My research focuses on developing statistical methods and computational tools for data integration using advanced technologies such as transfer and federated learning. My work extends to COVID-19 and health disparities, particularly in utilizing multi-center and EHR-linked biobank data to enhance disease prediction and diagnosis in underrepresented populations.
I joined Columbia in 2023, and my research is funded by the Harvard Data Science Initiative Postdoctoral Research Fund, the Columbia Biostatistics Department Grant Writing Initiative, and the National Institutes of Health.
Selected Awards & Honors
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IMS New Researcher Travel Award
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ASA Stat in Epid Section Young Investigator Award
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Harvard Data Science Initiative Postdoc Fellow Research Fund
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Biometrics Journal Excellent Referee Award
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ASA Biopharm Section Student Paper Award
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University of Michigan Rackham Predoctoral Fellowship
Training & Education
Between 2021--2023, I was a postdoc research fellow at Harvard Biostatistics, working for Dr. Rui Duan. We developed statistical and machine learning methods that facilitate robust and efficient data integration to improve precision health for underrepresented populations.
I received my Ph.D. of Biostatistics from the University of Michigan in 2021, co-advised by Drs. Jeremy Taylor and Bhramar Mukherjee.
Before that, I received my dual Bachelor’s degrees from Colorado State University and East China Normal University through a 2+2 dual-degree program, where I finished my junior and senior years in the US.
