Scholar
Nicolas Lanzetti
Google Scholar ID: gWJV1rQAAAAJ
Caltech
Citations & Impact
Citations
679
H-index
13
i10-index
16
Publications
20
Co-authors
36
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted for publication in journals such as IEEE Transactions on Automatic Control, SIAM Journal on Mathematics of Data Science, and IEEE Transactions on Control of Network Systems. Specific works include: Distributional Uncertainty Propagation via Optimal Transport; showing that linear feedback policies are optimal for distributionally robust LQG problems; Learning Diffusion at Lightspeed presented orally at NeurIPS; proposing a novel highly expressive fairness metric and algorithm for fair selection of early adopters; and researching the impact of recommendation systems on opinion dynamics.
Research Experience
- Currently a final-year PhD student at the Automatic Control Laboratory, ETH Zürich, supervised by Prof. Florian Dörfler (main advisor) and Prof. Alessio Figalli (second advisor). Interned in quantitative research at Citadel GQS during summer 2024.
Education
- Received BSc. and MSc. in Mechanical Engineering with a focus on Robotics, Systems, and Control from ETH Zürich in 2016 and 2019, respectively. During his Master's, he visited MIT and wrote his thesis at Stanford University under Prof. Marco Pavone in the Autonomous Systems Lab.
Background
- Research interests include optimal transport and gradient flows in the Wasserstein space, with applications in control theory, robust optimization, and game theory. Part of NCCR Automation.
Miscellany
- Regularly offers student projects and has mentored two outstanding Master's students who were awarded the ETH medal.
