I am a third-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. Recently, I have been working to make uncertainty estimates in machine learning actionable and reliable. I also spend time thinking about diffusion models, robustness, and fairness in machine learning. Please feel free to reach out if you’re interested in any of these areas!

I have had the good fortune to work with some brilliant and supportive people. Before my time at Stanford, I worked with Berk Ustun and Flavio Calmon at Harvard, and Sorelle Friedler and Helen White at Haverford College. I am fortunate to be supported by an NSF GRFP Fellowship.