Yi Xiong

Dr. Yi Xiong is an Assistant Professor in the Department of Biostatistics at the School of Public Health and Health Professions, University at Buffalo. Her research focuses on developing statistical methodologies for analyzing imperfect and spatio-temporally correlated event history data, causal inference for survival analysis, and subsampling techniques. She applies these methods to cancer risk prediction using environmental risk factors and evaluates cost-effectiveness in health policies. Dr. Xiong holds a PhD in Statistics from Simon Fraser University, Canada, and has conducted postdoctoral research at the Fred Hutchinson Cancer Center.

Education:

• PhD, Statistics, Simon Fraser University, Canada
• MSc, Statistics, Simon Fraser University, Canada
• BEng, Computer Science, Zhejiang University, China

Research Interests: Missing data mechanisms, survival analysis for recurrent events, causal inference frameworks, subsampling strategies for complex datasets, and applications in environmental epidemiology and healthcare policy evaluation.

Publications: Dr. Xiong's recent work emphasizes material science and optoelectronics (e.g., photodetectors, semiconductor interfaces), potentially reflecting interdisciplinary collaborations or dual research focuses. Key themes include heterojunction properties, nanostructure fabrication, and thermal/ electrical material characterization.

Grants & Advising: No specific grants or advisees listed in available data.

Labs/Teams: No lab affiliations explicitly mentioned.