Portrait

Nicolas Lanzetti

postdoctoral researcher

Computing and Mathematical Sciences
Caltech
Annenberg 203, Caltech
Pasadena, CA, USA

lnicolas@caltech.edu
 

I am a postdoctoral researcher in the department of Computing and Mathematical Sciences at Caltech, hosted by Prof. Adam Wierman, Prof. Eric Mazumdar, and Prof. Steven Low.

Previously, I was a PhD Student at the Automatic Control Laboratory at ETH Zürich under the supervision of Prof. Florian Dörfler (main advisor) and Prof. Alessio Figalli (second advisor). I was part of NCCR Automation. I received my BSc. and MSc. from ETH Zürich in 2016 and 2019, respectively. During my studies, I visited the Massachussets Institute of Technology and wrote my Master's thesis at Stanford University, in Prof. Marco Pavone's Autonomous Systems Lab. In summer 2024, I was an intern in quantitative research at Citadel GQS.

My current research interests include decision-making under uncertainty, game theory, and optimal transport, with applications in autonomy, energy, and biology.

selected publications

strategically robust game theory
optimization in the Wasserstein space
separation principle for multi-agent control
distributional uncertainty propagation

latest news

October 2025 I was selected as one of the NeurIPS top reviewers!
October 2025 New preprint on hedging against black swans in day-ahead energy markets, using distributionally robust optimization.
October 2025 I have started my postdoc at Caltech!
August 2025 I successfully defended my PhD!
July 2025 New preprint on strategically robust game theory. In multi-agent decision-making settings, how can agents be robust to one another's strategies?
February 2025 Our paper Distributional Uncertainty Propagation via Optimal Transport has been accepted for publication in the IEEE Transactions on Automatic Control.