Yi Guo, PhD, FAMIA

Dr. Guo is Associate Professor, Associate Chair for Data Science, and Division Chief (Preeminent Scholar) of Biomedical Informatics and Data Science in the Department of Health Outcomes and Biomedical Informatics at the University of Florida. He also serves as the Chief Data Scientist and Director of the Cancer Informatics Shared Resource for the UF Health Cancer Institute, Co-Director of the UF CTSI Biomedical Informatics Program, as well as the Associate Director of the Office of Data Science Research for the OneFlorida+ Clinical Research Network.

Dr. Guo has a multi-disciplinary background in the analysis of real-world data such as those from electronic health records (EHRs) and administrative claims, randomized trial and observational study design, predictive modeling (e.g., statistical and machine learning), causal modeling, and the analysis of patient-reported outcomes (PROs).

Together, Dr. Guo’s areas of expertise serve an overarching research theme: generating real-world evidence to support healthcare decision-making for disease prevention and control. Under this overarching theme, Dr. Guo’s research areas and expertise can be divided into three key methodologies: (1) 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 research, particularly treatment studies, and (3) PROs in clinical and public health applications – the development, validation, assessment, analysis, and reporting of PROs among various populations, especially vulnerable populations.

https://scholar.google.com/citations?hl=en&user=wnHzFS8AAAAJ