
About
Lisa F. Barcellos is a Professor of Epidemiology at the University of California, Berkeley, and serves as Director of the Center for Computational Biology and Director of the Undergraduate Public Health Major Program. She holds a PhD in Immunology and an MPH in Epidemiology from UC Berkeley, with postdoctoral training in genetic epidemiology at UCSF.
Her research focuses on genetic and environmental factors influencing autoimmune diseases, particularly multiple sclerosis (MS), systemic lupus erythematosus, and rheumatoid arthritis. Key areas include gene-environment interactions, epigenetic mechanisms, maternal-child immunogenetics, and the role of environmental exposures like smoking and air pollution. She collaborates with institutions such as Kaiser Permanente and UCSF Department of Neurology.
Barcellos' work emphasizes integrating genomic, epigenetic, and environmental data to understand disease mechanisms. Recent studies explore metabolomic biomarkers, DNA methylation changes in disease flares, and the impact of prenatal chemical exposures on childhood epigenetics. She also investigates how adverse childhood experiences influence MS outcomes and mental health.
Her publications highlight advancements in causal inference methods, microbiome associations with MS relapse, and lipidomics as disease activity markers. Despite no listed awards, her contributions to autoimmune disease epidemiology are widely recognized through collaborative projects and teaching roles in public health and computational biology.
Barcellos oversees the Undergraduate Public Health Program and leads interdisciplinary teams at the Center for Computational Biology, fostering computational approaches in genomic and epidemiological research.
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