Yan Li

Dr. Yan Li is a Professor in the Department of Epidemiology and Biostatistics at the University of Maryland. Her research focuses on developing statistical methods for analyzing complex biomedical samples, particularly improving nonprobability sampling representativeness, health disparity analyses, and genetic association studies. She holds a PhD in Survey Methodology from the University of Maryland and has expertise in combining computer science, genetics, and biostatistics.

Education:

• PostDoc, Biostatistics and Survey Statistics, 2009 (National Cancer Institute)
• PhD, Survey Methodology, 2006 (University of Maryland)
• MS, Statistics, 2002 (University of Nebraska)
• MS, Animal Genetics, 2000 (China Agricultural University)
• BS, Computer Science, 1997 (Beijing Institute of Technology)

Research interests include causal inference using survey data, survival analysis, and genetic studies. Her work bridges computational methods with epidemiological challenges, emphasizing precision in biomedical data interpretation.

Dr. Li has contributed to over 50 peer-reviewed publications, focusing on protein engineering, statistical methodologies, and biomedical applications. While no formal awards are listed, her extensive academic contributions reflect her expertise in interdisciplinary research.

Her advising and grants focus on statistical methodologies in public health, though specific grant details are not provided. Collaborations likely span biostatistics, computational biology, and epidemiology.