The mission of the Department of Epidemiology and Biostatistics is to improve population health through research, education, community engagement, and translating discoveries into practice.
Epidemiology is a quantitative, data-driven discipline that uses rigorous methods to collect, analyze, and interpret health-related data in human populations. Epidemiologists use this information to examine the distribution and determinants of disease and to apply this information to develop disease prevention strategies to improve population health.
Epidemiology is an exciting field that not only develops and applies rigorous epidemiology methods, but also draws on other scientific disciplines, including biostatistics, informatics, genomics, biology, economics, social and behavioral sciences. Welcome to the Department of Epidemiology and Biostatistics in the Program in Public Health at UC Irvine.
Welcome to the Department of Epidemiology and Biostatistics in the Program in Public Health at the University of California, Irvine.
Epidemiology is the study of the frequency, distribution, and determinants of disease in human populations
Our department provides rigorous training in the fundamentals and practice of epidemiology. We currently focus on graduate education and offer MS and PhD degrees in Epidemiology.
Our teaching and research expertise includes diabetes, cardiovascular disease, cancer, aging and cognition, as well as the environmental, social, dietary, and genetic determinants of health. Department faculty members address these and other topics in their research and teaching.
UC Irvine prides itself on transdisciplinary research. We work with faculty members in many departments within the Program in Public Health, with other units within the Susan and Henry Samueli College of Health Sciences, across the UC Irvine campus, and with institutions outside the university to describe, understand and reduce disease in human populations.
We are a dynamic, young, and growing department, and I invite you to join us as we tackle the challenges of improving population health locally, nationally, and globally.
Research Interests: Bioinformatics; genetic factors in human diseases; gene expression analysis; methylation; non-coding RNA; metagenomics; medical, environmental and marine genomics; pharmacogenomics and computational drug discovery; machine learning and deep learning