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Hi, I'm Mathieu

I'm a tenured associate researcher in mathematical optimization at Inria Grenoble. I'm interested in developing methods for various classes of optimization problems leveraging generic and specific problem structures. The classes I am looking at include Mixed-Integer (Non)-Linear Problems, convex and conic optimization problems among others. Applications I have been interested in include various branches of engineering, power systems, statistical learning, quantum information, and systems biology.

I completed a dual Ph.D. at Polytechnique Montréal in the GERAD lab and Inria Lille, focusing on bilevel optimization problems, a decision-robust counterpart and application on pricing for demand response, and worked a while at the Zuse Institute Berlin, among others on the SCIP solver and Frank-Wolfe methods.

On the side, I am working on various open-source projects, mostly in scientific programming, computational optimization, etc, in particular in the Julia language and around the JuMP project.

Mathieu's GitHub stats

Mathieu Besançon's Projects

pydr icon pydr

Package for simulating behavior of consumers subject to dynamic electricity pricing.

raff.jl icon raff.jl

Robust Algebraic Fitting Function project

rip icon rip

A safe and ergonomic alternative to rm

riskgame icon riskgame

CLI Risk game in Scala, combining an object structure with functional dynamics and data flow

rr01-plugflow icon rr01-plugflow

Scilab model for a plug flow reactor used to introduce process engineering students to reactors, kinetics and computational techniques

spatial-kwd icon spatial-kwd

Computing Kantorovich-Wasserstein distances for large spatial maps. Wrappers in Python and R.

thesis_template icon thesis_template

Thesis template for a double PhD Centrale Lille - Polytechnique Montréal

tldr.jl icon tldr.jl

A package for fast help and snippets

tlou.jl icon tlou.jl

A package for modeling Time-and-Level-of-Use pricing in Julia

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