معرفی
Yi Huang is an Associate Professor of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) and an affiliated faculty member at the School of Medicine, University of Maryland, Baltimore (UMB). Her expertise lies in biostatistics, with a focus on causal inference, comparative effectiveness research (CER), and propensity score methods. She is actively involved in interdisciplinary research at the interface of statistics, public health, and medicine.
Education:
- Ph.D. in Biostatistics, Johns Hopkins University Bloomberg School of Public Health (2007)
- M.S. in Atmospheric Science with a graduate minor in Statistics, University of California, Los Angeles (2000)
- B.S. in Atmospheric Physics, Peking University (1997)
Research Interests: Her methodological research centers on causal inference and CER, particularly propensity score-related methods and meta-analysis. She also explores statistical designs for personalized medicine (including traditional Chinese medicine), tolerance intervals, GLM, survival analysis, and longitudinal binary data. Her collaborative work spans post-marketing safety studies, gerontology, mother/infant health, and environmental health.
Scientific Awards:
- Best Methodological Development Award, Johns Hopkins Bloomberg School of Public Health (2007)
- ADVANCE Special Research Initiation Award for women in STEM, UMBC (2007)
- Certificate of Appreciation, FDA Office of Women’s Health (2009)
- NASA Graduate Fellowship (1999-2000)
- Summa Cum Laude, Peking University (1997)
Grants and Advising: She has served as PI or co-PI on numerous NIH and FDA grants, including RO1 grants on pediatric psychopharmacologic outcomes and aging studies. She mentors graduate students and collaborates extensively with researchers from FDA, NIH, and other institutions.
Labs and Teams: She is part of the joint biostatistics graduate program between UMBC and UMB School of Medicine, fostering interdisciplinary research teams in aging, environmental health, and maternal-child health.
