I am a Ph.D. student in Computer Science at Stanford University, advised by Ron Fedkiw in the Stanford AI Lab. My research interests are in 3D computer vision, neural rendering, and physics-based machine learning. Specifically, I have been investigating methods for predicting high-frequency geometric details via low-frequency embeddings for the application of cloth capture. I am also a student researcher at Google in the Project Starline team, and I was previously a part-time R&D software engineer and intern at NVIDIA. From 2019-2021, I was a co-chair of Stanford Grad Women in CS (WiCS). I am a 2022 recipient of the Gerald J. Lieberman Fellowship.

I received my B.S. in 2018 from Harvey Mudd College, where I conducted research with Chris Clark and Jim Boerkoel in underwater robotics and human-robot interaction, respectively. I was a 2018 recipient of the Don Chamberlin Research Award and a 2017 recipient of the CRA Outstanding Undergraduate Research Award.

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