Jessica is a Visiting Fellow in Computer Science at Harvard, where she researches reinforcement learning. Her focus is applications that allow for human interaction, primarily in healthcare. Jessica is also a data scientist at Careful, a sports medicine startup. Her interest in industrial applications of reinforcement learning began at Columbia, where she developed energy-saving software for skyscrapers in Manhattan, which she demoed at NIPS. Previously, Jessica developed the DARPA-funded open source machine learning library, datamicroscopes, at Qadium. She has worked with consultants at McKinsey to provide data-driven human resources recommendations to clients. She holds an MA in Statistics from Columbia.