Research

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

Path Planning for Drones with Diffusion Models

Email me for a copy of the unpublished paper

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Email me for a copy of the unpublished paper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.

Full publication list

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