Biography

I am a researcher in mathematical optimization with interests in nonlinear and discrete problems, and an emphasis on formulations and computational approaches.

TL;DR: I write mathematical models that represent decision-making processes or technical systems. I design algorithms that find the optimal decision for that model and often come with performance guarantees, which I implement in efficient computer programs.

Interests
  • Convex Optimization
  • Mixed-Integer (Non-)Linear Optimization
  • Power Systems
  • Optimization in Engineering
  • Computational Software
  • Algorithm Design
  • Optimization in Statistics & Learning
Education
  • Joint PhD, Applied Mathematics & Computer Science, 2017-2020

    Polytechnique Montreal, Inria, Centrale Lille, GERAD

  • Joint Bachelor & Master of Science in Process Engineering, 2011-2016

    University of Technology of Compiègne (UTC), France

  • Exchange program, applied mathematics, computer science & industrial engineering, 2015

    Polytechnique Montréal, Canada

  • Exchange semester, Process & Energy Engineering (Bachelor), 2013

    Technische Universität Braunschweig, Germany

Experience

 
 
 
 
 
Associate Researcher
January 2024 – Present Grenoble, France
Research in optimization.
 
 
 
 
 
Postdoctoral Researcher
January 2021 – December 2023 Berlin, Germany
Research in optimization methods and computation.
 
 
 
 
 
Doctoral Researcher
Polytechnique Montréal, Inria Lille
September 2017 – December 2020 Montréal, Canada & Lille, France
Double PhD program in mathematical optimization for pricing of demand response programs in smart grids.
 
 
 
 
 
Research Engineer, Data Scientist
Equisense SAS
July 2016 – August 2017 Lille, France
Research and development for a startup building connected devices and associated products for horse-riders.
 
 
 
 
 
Master’s Thesis
Siemens AG, Digital Industries
February 2016 – July 2016 Karslruhe, Germany
Stochastic models for event monitoring in automated systems.
 
 
 
 
 
Junior Engineer Placement
ArcelorMittal Hamburg GmbH
August 2014 – January 2015 Hamburg, Germany
Quantification and analysis of material losses in a steel rolling mill.

Publications

Filter publications here.

(2025). A Frank-Wolfe-based primal heuristic for quadratic mixed-integer optimization.

Cite arXiv URL

(2025). Boscia.jl: a review and tutorial.

Cite arXiv URL

(2025). Convex mixed-integer optimization with Frank-Wolfe algorithms. Mathematical Programming Computation.

Cite arXiv URL

(2025). Efficient Quadratic Corrections for Frank-Wolfe Algorithms. Advances in Neural Information Processing Systems.

Cite arXiv URL

Contact

The most reliable way to reach me is per email.