Leonardo Toso
Final year Ph.D. candidate Columbia University EE
I’m a Presidential and CAIRFI (Capital One) fellow in the EE Department at Columbia University working with Prof. James Anderson. Before joining Columbia, I was a research assistant in the Department of Engineering Science at Oxford. I was awarded the M.S. in Control from the University of Paris-Saclay and the M.Eng. in EE from CentraleSupélec both in 2022. In addition, I received my B.Eng. in EE from the Unicamp in 2022.
I have received the Electrical Engineering Distinguished Teaching Award from Columbia University for teaching E4650 Convex Optimization.
This Fall, I’ll be visiting Prof. 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).