Xiaochen Long, a fourth-year doctoral student in statistics (STAT) at Rice, has received the Student Presentation Excellence Award from the International Society for Biopharmaceutical Statistics (ISBS).
His presentation, “Transformer Cox: A Transformer-Based Cox Model for Survival Analysis,” is based on research he conducted last summer during his internship at Bayer Pharmaceuticals. There he was mentored by Kui Shen and Weichao Bao.
“Global health authorities mandate the reporting of drug-resistance mutations associated with the development of targeted therapy drugs,” Long said. “This introduces significant challenges related to statistical methodologies. We developed a framework for deep learning-based survival analysis to support precision medicine strategies at Bayer.”
Long earned his B.S. in STAT from Central University of Finance and Economics in Beijing in 2018 and his M.S. in STAT from Rice the following year. His doctoral adviser at Rice is Marek Kimmel, professor of STAT.
Long formally received the award at the ISBS Symposium on Statistical Innovation for Medical Product Development, held March 6-9 in Baltimore.