Dr. Andrew Rundle is a Professor of Epidemiology in the Mailman School of Public Health. His research has primarily focused on the determinants of sedentary lifestyles and obesity and the health related consequences of these conditions.

Dr. Rundle directs the Built Environment and Health Research Group, a trans-disciplinary team of researchers studying how neighborhood built, economic, business and social environments influence health and health behaviors, particularly for issues related energy balance and obesity risk. His work on neighborhood-level effects has been used as part of the scientific rationale for the New York City ‘Active Design Guidelines’ which refocuses urban design and architecture to support physical activity and for the Mayor’s Food Policy Task Force’s ‘Food Retail Expansion to Support Health’ (FRESH) initiative. His work also serves as part of the scientific basis for the International WELL Building Institute’s WELL Building and WELL Community building and design certification program. He and his collaborators have expanded their studies of neighborhood effects on health to include studies of childhood neuro-development, childhood asthma risk, pedestrian injuries, COVID-19, cancer survivorship and depression and disability among the elderly.

In addition to his academic research, Dr. Rundle has extensive experience working with industry partners, including Schlumberger, BMW, EHE Health, PwC, Kyowa Kirin, Delos Living, Omada Health, The WELL Building Institute and Fidelity Investments. Much of this work has focused on improving the health of company employees and their dependents and reducing medical costs. In these roles he has worked on product development, data analysis strategy, research publication strategy, building client’s data analytics capacity and strategy for quarterly and annual business reviews. He has extensive experience working with large complex data sets, including electronic medical records, medical and prescription claims data, EMS medical record data, administrative data (e.g. Census, land use, police, and Department of Health data), and business listing data.