About Yi Guo
Dr. Yi Guo is an Assistant Professor in the Department of Health Outcomes & Biomedical Informatics in the College of Medicine at University of Florida. His research focuses on 1) reducing health disparities, 2) integrating heterogeneous data for health risk prediction, and 3) validating patient-reported outcome measures across subpopulations. With a unique combination of training in biostatistics, bioinformatics, and biochemistry, Dr. Guo has strong study design, data collection, and analytical skills. His expertise includes interventional study design, power and sample size analysis, analysis of multi-level and longitudinal designs, mediation and moderation analysis, and health risk, including risk of cardiovascular disease, prediction modeling. He has extensive experience collaborating with clinicians and biomedical researchers on study design, coordination, and analysis. In particular, he has extensive experience applying complex statistical models to analyze health outcomes.
My areas of expertise serve an overarching research theme: data-driven precision and public health supporting clinical (shared) decision making and multilevel health interventions. Under the overarching theme, my research areas and expertise can be divided into: 1) Electronic health records (EHR)-based phenotyping and risk stratification – the identification of sub-populations with certain conditions or at higher risk for diseases; 2) Causal modeling and inference – the examination of causal relationships and pathways in clinical and public health research, particularly treatment studies; 3) Patient-reported outcomes (PROs) in clinical and public health applications – the development, validation, assessment, analysis, and reporting of PROs among various populations, especially vulnerable populations; and 4) Social media analysis and social media-delivered intervention – mining social media data to study health behavior and health outcomes in various populations and developing social media-delivered interventions that promote public and consumer health.