Yubo Cai
Yubo Cai is a Ph.D. student in Computational Science and System Engineering (the interdisciplinary doctoral program in CEE-CSE) at MIT. He is jointly affiliated with the Center for Computational Science and Engineering (CCSE), the Department of Civil and Environmental Engineering (CEE), and the Laboratory for Information and Decision Systems (LIDS), where he is advised by Professor Gioele Zardini.
Prior to joining MIT, he earned a Bachelor of Science in Applied Mathematics and Computer Science from École Polytechnique and a Master of Science in Mathematics and Statistics (OMMS/Part C) from the University of Oxford.
His research lies at the intersection of Optimization, Machine Learning, and Control Theory. He develops compositional theory and scalable algorithms for the co-design of complex, interconnected engineered systems, with an emphasis on performance, robustness, coordination, and multi-objective trade-offs. He is also interested in nonconvex optimization and higher-order methods, with applications to multi-agent systems, autonomous systems, resource allocation, and game-theoretic decision-making.
Awards:
- MathWorks Research Fellowship (2026)
- SPEEDWELL Foundation Transportation Fund Fellowship (2025)
- China Oxford Scholarship Fund Awards (2024)
- ETAPS Student Scholarship (2024)
- Mitacs Globalink Research Scholarship (2023)