Leonardo Toso
Final year Ph.D. candidate Columbia University EE
I’m a Presidential and CAIRFI (Center for AI and Responsible Financial Innovation) fellow in the Department of Electrical Engineering at Columbia University advised by Prof. James Anderson. Before joining Columbia, I was a research assistant in the Department of Engineering Science at the University of Oxford. I was awarded the M.S. in Control, Signal, and Image Processing from the University of Paris-Saclay and the M.Eng. in Electrical Engineering from CentraleSupélec both in 2022. In addition, I received my B.Eng. in Electrical Engineering from the University of Campinas (Unicamp) also in 2022.
I have received the Electrical Engineering Distingueshed Teaching Award from Columbia University for teaching Convex Optimization during Fall 2025.
This Fall, I’ll be visiting Professor Aaron Ames at Caltech.
Research
My research lie at the intersection of control theory, learning theory, and optimization.
Collaborators
Over the past few years, I had the pleasure of collaborating with brilliant people:
Students: Han Wang (FL for estimation and control), Thomas Zhang (multi-task rep. learning), Bruce D. Lee (adaptive control), Donglin Zhan (meta-learning for RL and control), Charis Stamouli (bisimulation bounds for multitask LQR), Rahel Rickenbach (learning with priors), Kasra Fallah (linear–quadratic–Gaussian control).
Postdocs: Anna Scampicchio (ETH), Anastasios Tsiamis (ETH)
Industry: Nam H. Nguyen (Capital One), Nihal Sharma (Capital One)
Professors: James Anderson (Columbia University), Nikolai Matni (UPenn), Melanie Zeilinger (ETH), Aritra Mitra (NC State University), George Pappas (UPenn), Lintao Ye (HUST).