Department announces new division structure, leadership

The Department of Epidemiology and Biostatistics is pleased to announce a new, modified division structure, division chiefs and chief designates:


Mark Segal, chief until July 2020; Katie Pollard, chief designate

Mark Segal, PhD, has been division chief since 2012. He director of the Center for Bioinformatics and Molecular Biostatistics, focuses on the development and application of statistical methods to address problems in computational biology and genomics. He is currently engaged in developing and comparing methods for inferring 3D genome architecture utilizing data from chromatin conformation capture assays.

Katie Pollard, PhD, is director of the Gladstone Institute of Data Science and Biotechnology and an investigator at the Chan Zuckerberg Biohub. She leads the Pollard Lab, a bioinformatics research lab focused on developing novel methods and using them to study genome evolution, organization and regulation.


Chuck McCulloch, chief until July 2020; Mi-Ok Kim, chief designate

Chuck McCulloch, PhD, has been division chief since 2000. He has expertise in the development and use of statistical methods for longitudinal data analysis, mixed models and latent class models. He has co-authored three textbooks (all now in second editions) and is the author of the Institute of Mathematical Statistics monograph, Generalized Linear Mixed Models. He also serves as the department’s vice-chair for finance.

Mi-Ok Kim, PhD, has expertise in the development and use of statistical methods for adaptive clinical trial designs, semi- and non-parametric analysis of longitudinal and survival data, and causal inference using structured data. She has collaborated in cancer and inflammatory bowel disease research. She also serves as director of the Helen Diller Family Comprehensive Cancer Center Biostatistics Shared Resource Core.

Cancer Epidemiology

John Witte, chief with term ending in 2023

John Witte, PhD, MS has been division chief since 2008. He has extensive experience in the design and statistical analysis of genetic epidemiologic projects. He has developed widely used methods and software for studying rare genetic variants, pathways, interactions and genome-wide association studies and is applying these methods to studies of cancer, birth defects and pharmacogenomics. He also directs a post-doctoral training grant in Genetic Cancer Epidemiology, and has mentored more than 40 pre- and post-doctoral fellows.

Clinical Epidemiology and Health Services Research

Jeff Martin, chief with term ending in 2023

Jeff Martin, MD, MPH, has been chief since 2016. He directs the Training in Clinical Research (TICR) program and conducts research on infectious diseases, with a special focus on HIV infection and its complications, primarily in Africa. He also serves as an attending physician in the HIV/AIDS program clinic at Zuckerberg San Francisco General.

Infectious Disease and Global Epidemiology

George Rutherford, chief with term ending in 2023

George Rutherford, MD, has been division chief since 1999. He directs Global Strategic Information at the Institute for Global Health Sciences. His research centers on epidemiology and prevention of infectious and tropical diseases, with a primary focus on HIV/AIDS. He also has projects dealing with the epidemiology of tuberculosis in California, the prevention of childhood injury, immunizations and bioterrorism

Lifecourse Epidemiology

Dennis Black, chief until July 2020; Maria Glymour, chief designate

Dennis Black, UCSF Sept. of Epidemiology & Biostatistics
Dennis Black

Dennis Black, PhD has been division chief since 2007. He is director of the Epidemiology, Biostatistics and Study Design Core of the Core Center for Musculoskeletal Biology & Medicine. His research interests include osteoporosis treatment and risk identification, bone mineral density, hip & vertebral fracture risk reduction, clinical trials. He also is co-Principal Investigator for a multi-center trial  pioneering treatment for bronchopulmonary dysplasia for extremely low birth weight infants.


Maria Glymour

Maria Glymour, PhD, directs the PhD program in Epidemiology and Translational Science. Her research interests include social determinants of health in aging, cognitive aging, Alzheimer's disease, and dementia, socioeconomic and geographic determinants of stroke incidence and outcomes, and causal inference in social epidemiology. She also co-leads the T32 training grant on Aging and Chronic Disease