I am a 2024 graduate of Brown University with an M.S. in Computer Science and a B.Sc. in Applied Mathematics-Computer Science. I am interested in (1) solving complex engineering problems and (2) exploring fascinating mathematic/scientific ideas. My goal is to build algorithms that learn how to do useful things and are aligned with human values. I'm especially interested in Interpretability Research and GPU Optimization.
I currently work as a Quantitative Researcher at Point72 focused on using NLP research methods to find signal. I previously conducted research in the LUNAR Lab focused on learning dynamics of in context learning, investigating compositionality using causal interventions methods, mechanistic interpretability, and reinforcement learning from human feedback with Dr. Ellie Pavlick. I have previously collaborated with EleutherAI.
I've also been working on a couple of other ideas that I find interesting. Please check out my blog to learn more! ๐
Need to reach me! Contact me at {username}@gmail.com.