I will be starting a PhD in Robotics/AI at Princeton in Fall 2026, advised by Tom Silver. Research topics include abstraction, safety, and continual learning for reinforcement learning, world modeling, and planning for embodied agents, including but not limited to robots.

I am currently a founding engineer at a full-stack AI startup called Bridger working on LLM, agentic, and machine learning-enabled automation within professional services including Tax and Accounting.

Previously, I have worked as a Machine Learning Engineer on topics ranging from large scale machine learning and model-based planning at Two Sigma, Cognex, and NVIDIA.

I have also been an independent researcher at MLCollective, a non-profit machine learning research lab.

I graduated my M.S. and B.S. with honors in Computer Science at Brown University, supervised by George Konidaris, Stefanie Tellex, and James Tompkin, in May 2020.

Check out my blog.

News

Aug 3, 2026
Starting PhD at Princeton.
April 12, 2026
Won Bronze at USA Taekwondo MA State Championships
February 24, 2025
Joined BridgerGP as the first Engineering Hire

Publications

Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion
First Author, AAAI 2021

Advanced Autonomy on a Low-Cost Educational Platform
Robocup Best Paper Finalist (3 out of 1,127 accepted papers), IROS 2019

PiDrone: An Autonomous Educational Drone using Raspberry Pi and Python
First Author, IROS 2018

PiDrone: Design of a Low Cost Autonomous Drone
First Author, CARRE International Research Symposium 2017

Awards

Two Sigma Internal AI/LLM Hackathon Best Project
2023

National Science Foundation Graduate Research Fellowship (NSF GRFP)
Wrote about Uncertainty Quantification, Honorable Mention, 2020

RoboCup Best Paper Finalist
IROS 2019

Sigma Xi Scientific Research Honor Society
Elected 2019

Senior Prize and Academic Honors in Computer Science
Brown University, 2019

Michael Black Teaching Assistantship Award
Brown University, 2019


Outside of Computer Science, I teach Taekwondo at Columbia and climb rocks.