I am a PhD candidate in Biomedical Data Science, specializing in developing machine learning methods to transform high-dimensional, often noisy biomedical data into actionable insights for early disease diagnosis and personalized treatment. I am also passionate about creating open-source software that makes high-quality machine learning more accessible.
Before joining Stanford, I earned a BS in Statistics and a BA in Economics from UCLA and worked as a Data Scientist at Invitae after. Most recently I interned at Hugging Face.