Associate Professor Mechanical and Industrial Engineering Institute for Experiential AI (core faculty) Electrical and Computer Engineering (by courtesy) Khoury College of Computer Sciences (by courtesy) Northeastern University Contact Information The best way to reach me is via email: l.lessard@northeastern.edu

Recent News

• Apr 10, 2026: I am honored to receive the 2026 Northeastern University Excellence in Teaching Award.
  Northeastern Global News also wrote an article about it!
• Dec 10–12, 2025: Attended the Conference on Decision and Control in Rio de Janeiro (blog post).
• Jul 8–10, 2025: Attended the American Control Conference in Denver (blog post).
• May 14, 2025: Gave a talk on algorithm equivalence as part of the Expeditions in Experiential AI seminar series at Northeastern. (slides)
• Dec 16–19, 2024: Attended the Conference on Decision and Control in Milan (blog post).
• Oct 7, 2024: I gave a talk at the University of Southern California’s CSC/CommNetS seminar (link)
• Apr 5, 2024: I gave a talk at École Polytechnique in Paris on the topic of distributed optimization algorithms.
• Dec 13–15, 2023: Attended the Conference on Decision and Control in Singapore (blog post).
• May 18, 2023: I gave a talk at Stanford’s ISL Colloquium series (link)

Biography

Laurent Lessard is an Associate Professor of Mechanical and Industrial Engineering at Northeastern University, with courtesy appointments in ECE and CS. Before joining Northeastern, Laurent was a Charles Ringrose Assistant Professor of Electrical and Computer Engineering at the University of Wisconsin–Madison and a Faculty Member at the Wisconsin Institute for Discovery. Laurent received the B.A.Sc. in Engineering Science from the University of Toronto, and received the M.S. and Ph.D. in Aeronautics and Astronautics at Stanford University, advised by Sanjay Lall and co-advised by Matthew West. After completing his doctoral work, Laurent was an LCCC Postdoc at Lund University, Sweden, where he worked with Anders Rantzer. Subsequently, Laurent was a postdoctoral researcher at the University of California, Berkeley, where he worked in the Berkeley Center for Control and Identification with Andrew Packard and also collaborated with Ben Recht and others in the AMPLab. While at Berkeley, he was also partially supported by Kameshwar Poolla. Laurent is a recipient of the Hugo Schuck best paper award and the NSF CAREER award. His research interests include: decentralized control, robust control, optimization, and machine learning.