People /
Peng Wei
Masters Student, Masters in Computational Analysis & Public Policy at the University of Chicago
Project: Quantifying Social Determinants of Cardiovascular Disease
Mentor: Corey Tabit
Research Area Keywords: Machine Learning // Medicine & Health // Spatial Data
Our project focused on determining spatiotemporal individual and composite social risk scores as they relate to blood pressure. This summer, we aimed to identify the optimal spatiotemporal buffer of crime that affects people’s blood pressure most.
Project News: The paper that grew out of this research, titled, “Acute Effects of Violent Crime on Blood Pressure in Chicago,” was published in the Journal of the American College of Cardiology in March 2020.