I am a fifth-year PhD student in Computer Science at Stanford University, where I’m advised by Stefano Ermon and affiliated with the Stanford AI Lab. My research is in machine learning and probabilistic modeling. My recent work focuses on uncertainty quantification, automated decision-making, and deep generative modeling. 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, and Sorelle Friedler. During my first year at Stanford, I rotated with Tatsu Hashimoto and Emma Brunskill. I am fortunate to be supported by an NSF GRFP Fellowship.