I am a second-year PhD student in Computer Science at Stanford University, where I’m affiliated with the Stanford AI Lab and advised by Stefano Ermon. I am fortunate to be supported by an NSF GRFP Fellowship. I like to think about decision-making under uncertainty, and particularly how to make uncertainty estimates trustworthy and actionable. I also spend time thinking about generative modeling and fairness in machine learning. Please feel free to reach out if you’re interested in any of these areas!

Previously, I studied Mathematics and Computer Science at Haverford College, where I worked with Sorelle Friedler on fairness in machine learning. I also spent time at Harvard University, where I studied uncertainty in machine learning with Flavio Calmon and Berk Ustun. Before that, I had the good fortune to spend a summer in Alaska working with Helen White to develop machine learning tools to study marine oil spills.

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