Hello! I am a first-year Master’s student in Computer Science at Brown University, advised by Dr. Ellie Pavlick. I am broadly interested in cognition and causal abstractions of AI systems. My research uses interpretability methods to uncover the mechanisms AI systems use to solve tasks, with the goal of better characterizing their capabilities and establishing stronger guarantees about when they can be trusted.

Before Brown, I completed my B.S. in Mathematics–Computer Science at UC San Diego, where I had the opportunity to work with Dr. George Sugihara, Dr. Xi Li, and Dr. Zhuowen Tu on projects spanning ecological forecasting, multimodal models, and robust machine learning. I also served as one of the inaugural project leads for Eta Kappa Nu’s (HKN) projects program, where I led the development of a data pipeline and predictive model for real-time forecasting of bioluminescent algal blooms off the coast of La Jolla!

Updates

• Aug 2026: We presented our work “Understanding the Effects of Modality in Context-Memory Conflicts” at NEMI ’26!
• Sep 2025: Started my Master’s at Brown University!