Chiara Di Gravio
PhD, 2023
Advisors: Jonathan Schildcrout and Ran Tao
Dissertation: Design and Analysis Methods for Modern Biomedical Studies with Longitudinal Outcomes
MS, Statistics, University of British Columbia
MS, Actuarial and Financial Science, Sapienza Università di Roma
Chiara is originally from Rome and lived in Canada and England before moving to Nashville. Her experience includes working as a statistician at the University of Southampton. In her free time she loves playing volleyball, baking, and searching for the best coffee in town.
Publications include “Risk factors for delirium among hospitalized patients in Zambia” (PLoS One 2021). Honors include the Data Science Institute’s Exceptional Teaching Assistant Award (2021).
2023 ENAR Distinguished Student Paper Award winner, for “Efficient Study Designs and Analysis Methods for Longitudinal Binary Data”
Secretary, Biostatistics Graduate Student Association, 2022 – 2023
CV: CDG_resume