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 — project website, paper (Oct 2025, ICRA 2026)
NASA NSTGRO24 Fellow, in collaboration with NASA JPL — Adaptive World Models for Space Robotics: Implicit Representations Grounded in Semantics and Physics
Workshop organizing:
Generative Digital Twins for Real2Sim and Sim2Real Transfer in Robotics at ICRA 2026 — website (June 2026)
2nd Space Robotics Workshop (SRW), Session Chair for Unlocking the Offworld Economy with Robotic Technologies at IEEE SMC-IT/SCC — recordings and details (July 2025)
✈️ Industry Experience
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 at Skydio (Fall 2021-Spring 2023). Talk at the Women in Data Science Conference (2022).
Embedded systems and vision processing for smart homes at Nest/Google (Summer 2018)
🎓 Undergraduate Research & Projects
Robust pose estimation in perception systems (keypoint detection) for robot manipulation at the MIT Robot Locomotion Group (paper, slides) (Fall 2019 - Spring 2021)
Illegal 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 (paper) (Spring 2021)