About me

I am a fourth-year PhD candidate in the Department of Computational Precision Health at UC Berkeley where I am fortunate to be advised by Prof. Ahmed Alaa and Prof. Irene Chen. My research focuses on multi-modal learning and interpretability, with an emphasis on robust estimation and reliable performance in high-stakes domains such as healthcare. I have also had the opportunity to intern on the Health Sensing team at Apple, where I developed LLM-based evaluation methods and scalable pipelines for improving the reliability and quality assurance of health AI systems.

Before joining Berkeley, I received my Bachelor’s degrees in Computer Science and Statistics from the University of Toronto, where I had the pleasure of working with Prof. Rahul G. Krishnan on research tackling distribution shift.