Hi there! I am a robotics researcher at MIT LIDS and the AeroAstro department. I am passionate about developing scalable and trustworthy multi-agent systems that operate robustly over long periods of time without human intervention. My current research applies tools from nonlinear and distributed optimization, graph theory, differential geometry, and machine learning to develop principled algorithms with theoretical guarantees and real-world systems for multi-agent perception and navigation.
I received my PhD degree in Aeronautics and Astronautics from MIT in August 2023, with a focus on autonomous systems. During my PhD, I was very fortunate to be advised by Prof. Jonathan How. Prior to PhD, I received my SM degree (2019) from MIT and BA degree (2017) from UC Berkeley.
- [07/2023] I successfully defended my PhD thesis “Algorithms and Systems for Scalable Multi-Agent Geometric Estimation.” Thanks to the amazing members of my thesis defense committee: Prof. Jonathan How, Prof. Luca Carlone, Prof. Ali Jadbabaie, Prof. David Rosen, and Dr. Kasra Khosoussi!
- [07/2023] I gave an invited talk about our recent work on rotation averaging and Laplacian solvers at the Spectral Graph Theoretic Methods (SGTM) workshop during RSS 2023.
- [04/2023] Our Kimera-Multi paper won the 2022 IEEE T-RO King-Sun Fu Memorial Best Paper Award! 🎉 More in IEEE news article: MIT Multirobot Mapping Sets New “Gold Standard”.
Selected Awards and Honors
- IEEE T-RO King-Sun Fu Memorial Best Paper Award, 2022.
- IEEE RA-L Outstanding Reviewer Award, 2023.
- Honorable Mention for IEEE T-RO King-Sun Fu Memorial Best Paper Award, 2021.
- Honorable Mention for IEEE RA-L Best Paper Award, 2020.