I am a founding researcher at Trajectory and an incoming PhD student in the Algorithmic Alignment Group at MIT CSAIL. My research focuses on post-trainability and algorithms for continual learning: teaching ML models to adapt to distribution shift and learn new skills over time.
In the past, I completed my Master’s degree at Carnegie Mellon University, advised by Prof. Virginia Smith and Prof. Aditi Raghunathan. Prior to that, I studied CS and Mathematics at WPI, supervised by Randy Paffenroth.
As an AI researcher, I’m optimistic about the future. There is a world where we wake up in American homes built in affordable cities, warmed by clean energy, ride e-bikes to high-speed rail stations, zipping from tight-knit communities into metropoles where we collaborate on social work, research, and art.
This world is not a guarantee, and we will have to fight for it! I work on research that I hope will bring us closer to a safe, abundant future.
What You’ll Find Here #
- Posts: Non-academic and semi-academic writing.
- Research: Highlights from my current and past academic work.
- Scrapbook: Perspective drawings of cafes, parks, and street corners.
Feel free to explore and connect with me through the links provided below.
