08/26/2026
This summer, Michelle Navarette Vega, a student in USC’s MS in Biostatistics program, completed the Cancer Prevention Research Training Program at UT MD Anderson Cancer Center, working with Dr. Kim-Anh Do’s lab.
Her research explored new ways to predict breast cancer risk using blood biomarkers measured over time. By applying a Bayesian screening framework to longitudinal data, she helped improve both the accuracy and timing of risk prediction compared with the standard approach.
“The foundation I built in USC’s Biostatistics MS program made this possible. My coursework in data analysis and epidemiology, along with my thesis experience working with complex biological data, prepared me to dive into real clinical data and problem-solve from day one.”
The experience also helped clarify what comes next: pursuing a PhD focused on identifying chronic disease risk earlier and more accurately.
Congratulations, Michelle--and thank you to Dr. Kim-Anh Do and Dr. Ehsan Irajizad for their mentorship!