Nerissa Nance is an Epidemiology PhD student at UC Berkeley, advised by Maya Petersen. She helps lead the JICI working group on applying the longitudinal causal roadmap to Danish registry data. Nerissa has also worked as a Senior Analyst at Kaiser Permanente Northern California's Division of Research, where she helped apply causal inference methods to study the impacts of antihypertensive treatment during pregnancy. She holds a Master's degree in Epidemiology and Biostatistics, also from Berkeley.
Causal inference, targeted learning, chronic disease, reproductive health.