This information is accurate as of the fellowship year indicated for each fellow.
Tianxi Cai is an associate professor in the biostatistics department at the Harvard School of Public Health. Her research interests involve developing statistical methods that can be used to establish and evaluate diagnostic and prognostic classifiers for the prediction of disease outcomes and treatment responses.
At Radcliffe, Cai will investigate new statistical procedures to combine patient-level biological and genetic marker information to optimize personalized prediction for clinical outcomes. She will also develop methods for identifying patient subpopulations that can benefit the most from expensive or invasive marker measurements.
Cai received her BS in mathematics from the University of Science and Technology of China in 1995 and her doctoral degree from Harvard University in 1999. After completing her doctoral and postdoctoral training at Harvard, she became an assistant professor at the University of Washington in Seattle. She was a visiting junior scholar at the Peter Wall Institute for Advanced Studies at the University of British Columbia in 2001. She returned to Harvard as a faculty member in 2002.