Nerissa Nance

Nerissa Nance is an Epidemiology PhD student at UC Berkeley, advised by Maya Petersen and Jen Ahern. She helps lead the JICI working group on applying longitudinal causal inference methodology to questions surrounding the effects of second-line diabetes medication use. Nerissa has also worked as a Senior Analyst at Kaiser Permanente Northern California's Division of Research, where she helped apply causal inference techniques to measure the impacts of antihypertensive treatment during pregnancy. She holds a Master's degree in Epidemiology and Biostatistics, also from Berkeley.
Research interests: 
Causal inference, targeted learning, chronic disease, reproductive health.