Quantitative Researcher focused on LLMs, reinforcement learning, and scientific machine learning.
I am interested in making LLMs and RL agents trustworthy, aligned, and usable in real-world scenarios.
- Previously an ML Engineer at Bridgewater Associates (AIA Labs), developing LLM agents and RL pipelines for macro alpha generation.
- Previously a Quantitative Researcher at Two Sigma, developing factor-neutral cross-sectional alphas and leakage-safe walk-forward pipelines.
- M.Eng. and B.S. in Computer Science from MIT (GPA: 5.0/5.0). Worked with Alan Edelman at the Julia Lab on physics-informed neural ODEs, and Una-May O'Reilly at the ALFA Lab on neuro-symbolic cybersecurity.
- President of MIT Pokerbots, a month-long autonomous poker competition for 250+ students. This sparked my interest in game theory and reinforcement learning.
Research Interests: Mechanistic interpretability, RL for LLMs, scientific machine learning.
Outside of work, I love working out, playing basketball, and keeping up with the latest AI/ML research.