Jasmine is Geneia’s lead principal data scientist. In this role, she’s a developer and coordinator for the data science team’s efforts in generating novel analytics and predictive models. These data-driven solutions focus on surfacing insights that, combined with appropriate actions, can improve healthcare outcomes and costs.
Prior to joining Geneia Jasmine was a Fellow with the Insight Health Data Science program, where she generated predictive models for identification of Parkinson’s disease in patients. With a background as a genetics researcher at the Whitehead Institute, she also brings extensive knowledge of biomedical science to her work as a healthcare data scientist.
Jasmine completed her doctorate in molecular and cell biology from the University of California, Berkeley, and holds a Bachelor of Arts in biology from Oberlin College. In her spare time, she enjoys playing board games, running, and experimenting with baking the perfect muffin.