Hi! I am a first-year PhD student in the Computer Science department at Stanford University. My current research interests include building more reliable machine learning systems, especially through the lens of human-AI collaboration and re-thinking current data collection methods. I am supported by the NSF GRFP Fellowship.
Previously, I was an AI Resident at Microsoft Research Redmond. I received my B.S. in Computer Science and minor in Creative Writing in 2018 from Stanford, where I worked with Tatsu Hashimoto and Percy Liang on issues of distribution shift and fairness in machine learning, as well as Kalanit Grill-Spector on visual perception. I have also worked with Hoda Heidari and Andreas Krause through the ETH Zürich Summer Research Fellowship.