Jennifer’s diverse research experience spans the areas of environment and health, cardiovascular and infectious disease epidemiology, health services, sleep, and syndromic surveillance. As a Data Scientist at Delos Labs, she focuses on extracting meaning and knowledge from building, indoor environmental quality, and health data through visualization and analysis.
Prior to joining Delos, Jennifer was a post-doc at Columbia University Climate and Health Program, the first program of its kind dedicated to studying the link between climate/weather and human health. There she collaborated with the NYC Department of Health and Mental Hygiene to study how environmental factors – temperature, humidity, and influenza – impact cold-season mortality. Her work showed that influenza surveillance data can be used to predict the timing and burden of cardiovascular deaths in NYC.
Prior to her fellowship at Columbia University, Jennifer was a post-doc at Harvard University where she worked on projects related to exposure assessment, air pollution, and cardiovascular disease.
Jennifer holds a Doctor of Science degree in Environmental Health and Epidemiology from Harvard T.H. Chan School of Public Health, an MPH from Boston University School of Public Health, and a BA in Biology and Psychology from the University of Pennsylvania.