UF Epidemiology Commitment to Diversity, Equity, and Inclusion

The Department of Epidemiology promotes diversity through our teaching, research, and service. We are committed to an inclusive environment that promotes individual and group equity and elimination of discrimination. Our students, faculty and staff are expected to treat one another with dignity, and respect regardless of gender, age, sexuality, disability, socioeconomic status, religious views, ethnicity, race, or culture. We also pledge to work continuously to make changes that will bring about an equitable and diverse academic community.

Learn about our DEI Implementation Task Force

Our Academic programs

PhD in Epidemiology

A terminal research degree granted on evidence of distinctive attainment in epidemiology and on ability for independent investigation.

Master of Science in Epidemiology

A research degree that trains students in epidemiological methods and professional development and culminates in a publishable thesis.

Master of Public Health, Epidemiology Concentration

A multidisciplinary graduate-level degree that focuses on the practical elements of public health that can be applied in a professional career.

Certificate in Psychiatric Epidemiology

Our 12-credit, fully online Certificate in Psychiatric Epidemiology is the only certificate program of its type in the world.

welcome to uf department of epidemiology

Message from our Chair

Dr. Stephen Kimmel

Welcome to the Department of Epidemiology at the University of Florida! We are a premier department in one of the top public universities in the country. Our mission is to make scientific discoveries, educate others, and provide service so that we improve the health of the population. We do this through the practice of consequential epidemiology.

Pleased to Welcome New Faculty

ASSISTANT PROFESSOR

Welcome Dr. Sai Zhang

Sai Zhang, Ph.D., joined us on January 5, 2023, from the Department of Genetics at Stanford University School of Medicine. His research interests include Computational Biology, Machine Learning, Genetics, Genomics, and Precision Medicine. More specifically, he is interested in developing novel machine learning methods (e.g., deep learning and probabilistic graphical models) to decode complex human diseases by reasoning over large-scale genetic (single-cell) multiomic, and clinical datasets. His long-term goal is to build AI systems to assist scientific discovery, clinical decision-making, and personal health management.