I am a fourth-year PhD student in the Department of Biostatistics, working with Dr. Jeffrey T. Leek at Fred Hutch Cancer Research Center.

My research focuses on Inference on Predicted Data (IPD), developing statistically valid estimators for settings where outcomes are replaced by AI/ML predictions. This is a rapidly emerging area as AI tools become more accessible across fields. I also extend IPD methodology to survival analysis for time-to-event data with censoring. More recently, I joined a collaboration with Prof. Barbara Lam and researchers from MIT and Harvard TH Chan, developing a multimodal model for pulmonary embolism screening.

On the software side, I helped develop the `ipd` R package (available on CRAN) and recently received a Sloan Foundation grant to build `scorcher`, an R package for tidy-style deep learning in R with minimal code. I have also served as a resource developer for Informatics Technology for Cancer Research (ITCR), evaluating impact metrics for biomedical software.

Outside of research, I enjoy volunteering, photography, and watching Formula 1.