I am a second-year Statistics PhD student at UChicago working with Rebecca Willett and Rina Foygel Barber. My research is focused on developing effective statistical inference methods for black-box models, using frameworks such as conformal prediction and knockoffs. While these approaches have broad applicability in mind, I am frequently inspired by climate forecasting and film datasets.

Email: raphaelr [a t] uchicago [d o t] e d u