Chloé Paris is a PhD student in Genomics and Computational Biology at the Perelman School of Medicine at the University of Pennsylvania. Her research focuses on applying machine learning and Bayesian statistical modeling to characterize the effects of place on hypertensive disorders of pregnancy, with a particular interest in informing targeted place-based interventions to improve pregnancy health through investments in neighborhoods. Paris received her BS in Biomedical Engineering and Applied Mathematics and Statistics with a minor in Computational Medicine at Johns Hopkins University.
Associate Fellow
Chloé Paris
- PhD Student, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine