I am a fourth-year PhD student in Computer Science at Stanford University, where I’m affiliated with the Stanford AI Lab and advised by Stefano Ermon. My goal is to develop trustworthy machine learning systems that improve human decision-making. I am interested in the foundations of probabilistic prediction, and understanding how predictive uncertainty can inform decision-making. I also spend time thinking about deep generative modeling, robustness, and fairness in machine learning. Please feel free to reach out if you’re interested in any of these areas!

I am deeply grateful to have worked with some brilliant and supportive people, including Volodymyr Kuleshov, Berk Ustun, Flavio Calmon, Sorelle Friedler, and Helen White. I am fortunate to be supported by an NSF GRFP Fellowship.