I’m a PhD student working on AI systems at the UC Berkeley Sky Computing Lab (previously RISELab), where I’m advised by Professor Ion Stoica and Professor Joseph Gonzalez.
I’m interested in how techniques from computer systems can make self-driving cars safer and more reliable. To that effect, I’ve co-designed 2 open-source software projects:
- ERDOS is a dataflow system for building self-driving car and robotics applications.
- Pylot is a modular self-driving car platform that runs on both real cars and in simulation.
Previously, I contributed to several successful open-source projects:
- Ray is a popular framework for developing distributed applications.
- Modin scales pandas workflows to terabytes.
I interned at Google Deepmind with the Pathways Team in 2023, where I focused on sparse computation and modularity in language models.
Publications
- Under submission, conference paper.
- ASPLOS 2025.
- [paper]
- Compound AI Systems Workshop 2024.
- IROS 2023.
- EuroSys 2022.
- ICRA 2021. Best Unmanned Aerial Vehicles paper award finalist.
* These authors have made equal contributions.
Selected Talks
Towards Cloud-Driven Autonomous Vehicles. Sky 2024 Summer Retreat.
[slides]
Building Autonomous Vehicles: From the Road to the Sky. Sky 2022 Summer Retreat.
[slides]
D3: A Dynamic Deadline-Driven Approach for Building AVs. EuroSys 2022.
D3: A Dynamic Deadline-Driven Approach for Building AVs. RISE/Sky 2022 Winter Retreat.
[slides]
Scaling Emerging AI Applications with Ray. QCon.ai San Francisco 2019.
Service
Reviewer: ICRA 2024, IROS 2024, ICLR 2025.
Co-author of the UC Berkeley EECS Operating Systems Preliminary Exam Syllabus (2023).