I am a biostatistics researcher interested in causal inference, statistical learning, and trustworthy AI, with an emphasis on developing rigorous and scalable methodologies for genetics, genomics, and integrative analysis of multimodal biomedical and environmental data.
I received my PhD in Quantitative and Computational Biology with a Graduate Certificate in Statistics and Machine Learning from Princeton University, where I was advised by Professor John D. Storey.
Before Princeton, I received a Master of Science from the Department of Biostatistics at Harvard University, and received Bachelor of Science and Bachelor of Economics from Peking University.
Education
PhD (2025) Princeton University
MSc (2019) Harvard University
BSc & BEc (2017) Peking University
Professional Experience
Postdoctoral Research Associate, Lewis-Sigler Institute for Integrative Genomics, Princeton University, January 2026 —
Awards and Honors
- Reviewers’ Choice Abstract Award, the American Society of Human Genetics, 2022
- The King Peh Kwoh Fellowship, Princeton University, 2020
- Lewis-Sigler Institute Scholars Award in Quantitative and Computational Biology, Lewis-Sigler Institute, Princeton University, 2019
- Outstanding Graduate of Beijing, the Beijing Municipal Commission of Education, 2017
- Excellent Graduate who has demonstrated outstanding performance, Peking University, 2017
- UCLA Cross-disciplinary Scholars in Science and Technology Award in recognition of outstanding research and presentation skills, 2016
- Tang Xiaoyan Scholarship for innovation in environmental science, Peking University, 2016
- National Scholarship (Top 0.2%), awarded twice by the Ministry of Education of China, 2016 & 2015
- Pacemaker to Merit Students, Peking University, 2016 & 2015
- May Fourth Scholarship, Peking University, 2014