I am an incoming (Fall 2023) Assistant Professor of Electrical Engineering in the School of Engineering and Applied Sciences (SEAS) at Harvard University. I obtained my Ph.D. in Robotics in 2022 from the Massachusetts Institute of Technology, where I was fortunate to work with Luca Carlone in the Laboratory for Information and Decision Systems.
I am currently a research scientist in the NVIDIA Autonomous Vehicle Research Group led by Marco Pavone. We have research intern positions all year at NVIDIA Autonomous Vehicle Research. If you are a PhD student interested in developing safety assurances and robustness guarantees for perception systems, or in general vehicle autonomy, feel free to contact me or other research scientists in the group.
Computational Robotics: I am building a computational robotics research group at Harvard University. My group is broadly interested in the algorithmic foundations of robot perception, action, and learning. Our vision is to enable safe and trustworthy autonomy for a broad range of high-integrity robotics applications, by designing tractable and provably correct algorithms that enjoy rigorous performance guarantees, developing fast implementations, and validating them on real robotic systems.
Current Interests: I am currently interested in three challenges.
- Trustworthy robot perception with learned modules
- Perception-based planning and control with performance guarantees
- Convex optimization for estimation, decision-making, and learning
Read more about some of these topics in the sample research statement (November 2021).
Prospective Students: I have PhD and Postdoc openings in my group at Harvard. For PhD opportunities, please apply to the PhD program at Harvard SEAS (e.g., in EE/CS/AM/ME) and list me as a potential advisor. I am also open to taking (undergraduate or graduate) research interns.
I am interested in working with self-motivated candidates with (a) a strong theoretical and computational background (e.g., applied math, optimization and control, statistics, machine learning, and scientific computing), and/or (b) rich experiences in real robotic platforms (e.g., drones, manipulators, ground vehicles).
Due to the large volume of inquiries, I may not be able to reply to all emails, and I apologize for this.
Awards & Recognitions
|2022||MIT LIDS/ALL Magazine: Honing Robot Perception|
|2021||MIT News Spotlight: Making self-driving cars safer through keener robot perception|
|2021||Best Paper Award Finalist at Robotics: Science and Systems (RSS)|
|2021||Robotics: Science and Systems (RSS) Pioneer|
|2020||Graduated Non-Convexity (GNC) algorithm included in Matlab Navigation Toolbox and appeared in MathWorks News and Stories|
|2020||Best Paper Award Honorable Mention from IEEE Robotics and Automation Letters (RAL)|
|2020||Best Paper Award in Robot Vision at International Conference on Robotics and Automation (ICRA)|
|2019||MIT News Spotlight: Spotting objects amid clutter|
|2015||Tsinghua Principal Scholarship (Tsinghua News Spotlight)|