Théo Guyard

Postdoctoral Researcher
Polytechnique Montréal

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Théo Guyard

About me

I am a Postdoctoral Researcher at Polytechnique Montréal affiliated to the Scale-AI chair held by Thibaut Vidal. Prior to that, I received a PhD in Applied Mathematics at INRIA Rennes under the supervision of Cédric Herzet, Clément Elvira and Ayşe-Nur Arslan. Before, I earned an Engineering Degree (MSc equivalent) specialized in Applied Mathematics from INSA Rennes where I also followed a research program to work with academic researchers for two years before graduating. Feel free to check my resume for more details.

Research interests

My works mainly focus on mathematical optimization with both convex and mixed-integer problems related to various applications, including machine learning and signal processing. I was particularity interested in sparse optimization problems involving the L0-norm during my PhD. For my postdoctoral position, I am working on building decision trees to solve any instance of a given Mixed-Integer Linear Programs in polynomial time. Feel free to check my publications for more details.