Jennifer serves as lead data scientist at Brightfield Group where she executes the development of web applications, online data collection crawlers, and predictive models. Prior to joining Brightfield Group, she managed a large national study at UPenn’s Institute for Research in Cognitive Science and the UCLA Human Perception Lab. She contributed to dozens of studies at American Institutes for Research, developing quantitative and qualitative data-collection instruments, conducting analyses, and structuring reports for state and federally funded research. She most recently served as a project manager at Penn's Positive Psychology Center with the World Well-Being Project, a group pioneering measures of well-being using natural language processing and machine learning. Jennifer is passionate about using cutting edge methodologies in programming and statistics, and believes machine learning and language analysis play a pivotal role in providing human insights and informed policy. She has a B.A. in Psychology from the College of William and Mary and a M.S. in Education Policy from the University of Pennsylvania. She is also a graduate of, and current instructor at, Northwestern’s Data Science program and a candidate for the University of Pennsylvania Masters of Applied Positive Psychology.
Jennifer’s Areas of Expertise: