Areas of Expertise:
- Cancer Surveillance
- Survival Analysis
- Statistical Methodology and Applications
Theresa Devasia has joined the National Cancer Institute’s (NCI) Surveillance Research Program (SRP) in the Data Analytics Branch (DAB) as a Mathematical Statistician. In her role, Theresa will be supporting various activities related to the application and development of novel statistical methods to understand population trends in cancer incidence, prevalence, and mortality. Theresa will be supporting the Surveillance, Epidemiology, and End Results (SEER) Program and the Cancer Intervention and Surveillance Modeling Network (CISNET) through her work.
Theresa obtained her Ph.D. in Biostatistics from the University of Michigan in 2021 and her B.S. and M.S. in Statistics from the University of Georgia in 2016. Her thesis focused on novel statistical methods for joint models of survival and biomarker data, with applications in prostate cancer using SEER data. Prior to her position at the NCI, Theresa worked as a research assistant at Michigan Medicine, where she supported clinical research projects in the Departments of Radiology and Radiation Oncology. Her work involved developing statistical models to predict tumor response and toxicity from patient factors. In addition, she served as a research assistant at the Ann Arbor VA’s Center for Clinical Management Research (CCMR) on a project focused on optimal timing of androgen deprivation therapy for men with prostate cancer. Theresa is primarily interested in statistical methods for modeling population-level trends to support cancer surveillance.