I am an Aeronautics and Astronautics PhD candidate at Stanford University, advised by Prof. Mac Schwager and Prof. Jiajun Wu, and affiliated with the Multi-Robot Systems Lab and the Stanford Vision and Learning Lab. My research explores how robots can acquire and adapt skills in the real world through physical and semantic understanding. I work on vision-language-action models, sim-to-real transfer, and world models. I am particularly motivated by challenges inspired by deep space exploration and am grateful to be funded by the NASA Space Technology Graduate Research Opportunities (NSTGRO) Fellowship.
Before beginning my PhD, I worked on autonomous drones at Skydio after graduating from Harvard with a B.A. in Physics and S.M. in Computer Science. During my undergrad, I conducted research on robust pose estimation from 3D keypoints in the Robot Locomotion Group at MIT with Prof. Russ Tedrake.
Outside of research, I stay active with running, hiking, and cycling; explore art through oil and watercolor painting, photography, and writing; and deepen my spiritual practices through yoga, meditation, and making (and enjoying) good food. Along with some friends, I also co-produce The Overview, a newsletter, podcast, and resource hub for aspiring aerospace engineers and students.
Research & Projects
My mission is to build autonomous robots to expand human consciousness, creativity, and connection.
I have always been drawn to building and creating—starting with arts and crafts, then scientific experiments, and eventually complex engineering systems. I am an artist and writer at heart, a scientist and engineer by training. Above all, I am driven by curiosity and exploration.
I am currently working on making vision-language-action models more steerable to help with skill acquisition. Feel free to reach out if you’d like to connect about research or potential collaborations! 😊
🤖 PhD Projects
Phys2Real: Fusing VLM Priors with Interactive Online Adaptation for Uncertainty-Aware Sim-to-Real Manipulation
Fusing vision-language model priors with interactive online adaptation for uncertainty-aware sim-to-real transfer in robotic manipulation.
Oct 2025 · ICRA 2026
NASA NSTGRO24 Fellow — Adaptive World Models for Space Robotics
Implicit representations grounded in semantics and physics for space robotic systems. In collaboration with NASA JPL.
Ongoing
Workshop Organizing
Generative Digital Twins for Real2Sim and Sim2Real Transfer in Robotics at ICRA 2026.
Session Chair for Unlocking the Offworld Economy with Robotic Technologies at 2nd Space Robotics Workshop (SRW), IEEE SMC-IT/SCC.
June 2026 · July 2025
✈️ Industry Experience
Skydio — Autonomy Engineer
Designed and implemented a global graph-based planner, improved core flight algorithms for precise movement and multi-frame tracking, and trained optical flow models for subject localization.
Fall 2021 – Spring 2023
Skydio — Autonomy Intern
Docking system for autonomous drones enabling long-term autonomy for drone applications.
Summer 2019
Nest / Google — Software Engineering Intern
Embedded systems and vision processing for smart homes.
Summer 2018
🎓 Undergraduate Research & Projects
Robust Pose Estimation from 3D Keypoints
Robust pose estimation in perception systems (keypoint detection) for robot manipulation at the
MIT Robot Locomotion Group with Prof. Russ Tedrake.
Fall 2019 – Spring 2021
Illegal Mining Detection via Satellite Imagery
Gold mining barge detection in the Rio Madeira using data from Sentinel-1 (radar) and Planet Labs (optical) using both traditional computer vision and deep learning techniques.
Spring 2021
Harvard Undergraduate Robotics Club — UAS Team Lead
Fall 2017 – Summer 2019
Harvard Satellite Team
Fall 2018
🚀 Early Projects
Stanford Autonomous Systems Laboratory
Summer 2016
FIRST Robotics — The Space Cookies
Summer 2013 – Spring 2017
MIT Zero Robotics
Project Leader for
MIT Zero Robotics — algorithms ran on SPHERE satellites on the International Space Station.
Summer 2014 – Winter 2015
Galaxy Formation & Evolution — UC Santa Cruz Astrophysics
Summers 2015 – 2016