Departmental Affiliations
Primary
Whiting School of Engineering
Joint
Yiqun Chen develops AI and statistical methods that make biomedical research more reliable, enabling rigorous evaluation and discovery in genomics, medicine, and public health.
Research Interests
AI4Science, AI4Health, Data science, Large language model, Statistical inference, Unsupervised learning
Additional Links
Experiences & Accomplishments
Education
PhD
2022
Overview
I work at the interface of generative AI and statistical methodology for biomedical discovery. I develop selective-inference and evaluation frameworks, and build LLM-enabled methods that make scientific data analysis more reliable and scalable, with applications in genomics and medicine.
Honors & Awards
- Google Academic Research Award
- Stanford Data Science Postdoctoral Fellowship
- Thomas R. Fleming Excellence in Biostatistics Award
- Rising Stars in Data Science
- Best Paper Honorable Mention, CHI 2023
- NESS Student Research Award
- Best Student Oral Presentation, Western North American Region (WNAR)