I am a fourth-year PhD student in Biostatistics, advised by Dr. Jeffrey T. Leek at Fred Hutch Cancer Center.

My research is about what comes after prediction. As AI and machine learning models become easier to use, researchers are increasingly using predicted outcomes in place of, or alongside, observed data. I develop statistical methods that make inference valid in these settings, with current work spanning inference on predicted data (IPD) in survival and correlated outcomes. I am also part of a collaboration with Prof. Barbara Lam and researchers from MIT and Harvard T.H. Chan School of Public Health on multimodal modeling for pulmonary embolism screening.

I also build research software. I helped develop the `ipd` R package, now available on CRAN, and I am co-developing `scorcher`, an R package for building deep learning models in R with minimal code. Through the Informatics Technology for Cancer Research program, I have worked on evaluating how biomedical software is used and sustained. 

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