About

I am an Assistant Professor in the Department of Biostatistics at the University of Michigan. My research mostly focuses on developing statistical and machine learning tools for assessing heterogeneity of treatment effect and building risk prediction models. I have A major area of applied interest is in precision oncology where I can employ statistical tools to develop or assess the role of different biomarkers in driving variation in patient response and to help utilize such biomarkers to identify patients benefiting most from specific therapies. My work draws upon survival analysis methods, machine learning, data integration techniques, and Bayesian inference in order to better incorporate all sources of uncertainty.