ScenicNL: Generating Probabilistic Scenario Programs from Natural Language
COLM 2024: Conference Paper
A deep dive into how to get LLMs to write code in languages they have never seen. As a case study, we apply it to generate scenario programs from the last 5 years of autonomous vehicle crashes in California.


Tensor Trust (Read our paper’s contribution statement)
ICLR 2024:
Spotlight Paper (Top 5%)
NeurIPS 2023:
Instruction Tuning and Instruction Following Workshop (Honorable Mention)
Robustness of Few-shot and Zero-shot Learning in Foundation Models Workshop

Adaptive Model-Based Control of Under-Actuated Legged Millirobots
This is one of the three modified kamigami robots that we built.
Implemented Online MPC, Offline MPC, and Nagabandi’s GrBAL
Email me for a copy of the unpublished paper
In person collaborations
I am extremely open to working with new research collaborators or mentoring very motivated undergraduate students. If you are doing well in most of your classes and have at least 20 hours a week to dedicate to research, feel free to email me with [Research Intern] included as a prefix in the subject line.
