Riccardo Bonalli

I am tenured CNRS Researcher (US eq. Assoc. Professor) at Université Paris-Saclay. Prior to this appointment, I was Postdoctoral Researcher at the Autonomous Systems Lab (ASL), Department of Aeronautics & Astronautics, Stanford University. I obtained a PhD in Applied Mathematics at Sorbonne Université in collaboration with ONERA-The French Aerospace Lab. I also received a MSc in Mathematical Engineering and a BSc in Physical Engineering both from Politecnico di Milano.

The goal of my research is to devise algorithms for autonomous systems that balance optimality and robustness to select the best available strategy and make decisions under uncertainty in dynamic environments. My research promotes mathematical investigation into the nature of these problems alongside algorithmic design. By leveraging tools from optimal, geometric and stochastic control, differential geometry, optimization, statistical analysis, and machine learning, the goal is to reveal structure and insights to create efficient and reliable paradigms.

I am PI of the ANR JCJC project ROCH-Risk-averse Optimal Control via Homotopy.

NEWS: Open postdoc position in Learning Methods for Safe-against-Uncertainty Control (ROCH project).