Grace Cai

Grace Cai

M.S. Student in Computer Science · University of Maryland, College Park

I am an M.S. student in Computer Science at the University of Maryland, College Park, where I also received B.S. degrees in Computer Science (with High Honors) and Physics. I am advised by Prof. Ming C. Lin in the GAMMA Lab, where I work on physics-based and differentiable dynamics models of micro-mobility vehicles for simulation and autonomous navigation.

My research interests lie at the intersection of physically-based simulation, differentiable programming, and robotics. I am interested in building models of the physical world that are faithful enough to capture real dynamics and differentiable enough to be used directly for learning, planning, and control of autonomous systems.

Previously, I was a World Model Systems Engineering Intern on the Autonomous Vehicles team at NVIDIA, where I studied how sensor degradation affects obstacle perception, and a Software Engineering Intern at Uber. Outside of research, I enjoy golf and baking.

I am applying to Computer Science Ph.D. programs for Fall 2027.

Publications

* denotes equal contribution

IROS 2026

Differentiable Dynamics for Autonomous Micro-Mobility Navigation

Grace Cai, Joey Lee, Nithin Parepally, Laura Zheng, Ming C. Lin

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026

ICRA 2026

GM3: A General Physical Model for Micro-Mobility Vehicles

Grace Cai*, Nithin Parepally*, Laura Zheng, Ming C. Lin

IEEE International Conference on Robotics and Automation (ICRA), 2026

Work Experience

Graduate Research Assistant, University of Maryland Sep 2026 – Present

Evaluating LiDAR sensor capabilities in NVIDIA Isaac Sim and generating digital twins of mechanical parts for a part database.

World Model Systems Engineering Intern, Autonomous Vehicles, NVIDIA May 2026 – Sep 2026

Developed MagLev workflows to quantify how sensor degradation affects obstacle perception performance. Built an interactive dashboard to compare feature-level performance across sensor configurations, and implemented an AI agent that investigates failures and generates analysis reports.

Software Engineering Intern, Platform Engineering, Uber Jun 2025 – Aug 2025

Implemented multimodal support in Go and Python to analyze images for privacy risks, increasing recall by 25%. Extended the benchmarking suite to assess accuracy and built a multimodal RAG pipeline to semantically retrieve images using a vector database.

UberSTAR Software Engineering Intern, Platform Engineering, Uber May 2024 – Aug 2024

Built a proof-of-concept LLM document summarization tool with Python, Streamlit, and LangChain, and integrated it into an internal document review platform using Go, TypeScript, and React.

Honors & Awards

  • Computing Research Association (CRA) Outstanding Undergraduate Researcher Award, Honorable Mention2026
  • Excellence in Research Award, University of Maryland2026
  • CS Departmental Honors, University of Maryland2023–2026
  • President's Scholarship, University of Maryland2023–2026
  • Dean's List, University of Maryland2023–2026