Senior Data Scientist
Jennifer is a biophysicist who has worked on a diverse array of systems including cell membranes, aggregating proteins, development of DNA sequencing technologies, antibody-antigen interactions, stochastic signals, allergen immunotherapy, and bacteria. She received a BA in physics from Oberlin College, a PhD in physical chemistry from the University of Wisconsin Madison and did a postdoctoral fellowship in biophysics at Stanford University.
Her efforts have blended four primary toolkits: predictive modeling, signal processing, experimental design, and instrument development. She thrives on solving complex multifactorial problems requiring integration of disciplines, systems, signals, and information from diverse sources.