CV

Contact Information

Name Olivier Juan
Email olivier.juan@edf.frolivier.juan@gmail.com
Website https://olivierjuan.github.io

Experience

  • 2008 - present

    Research Engineer Expert
    EDF R&D · OSIRIS, Palaiseau, France
    • Led the ground-up redesign and production deployment of Apogène, EDF’s short-term unit commitment software (MILP, branch-and-bound, ADMM, RCSPP, Min Cost Flow). 4 versions deployed in production (V2 2018, V3 2020, V4 2021, V5 2025), saving several tens of millions of euros per major release.
    • Managed a team of 10–20 engineers and researchers across the full lifecycle: mathematical modeling, algorithm design, C++ implementation, CI/CD (GitLab), HPC deployment (Slurm, Singularity).
    • Integrated ML-based branching heuristics (RL, GNN) into the solver loop; results published at NeurIPS 2025 and AAAI 2026.
    • Designed and built the optimization platform for DREEV (EDF × Nuvve joint venture): EV fleet dispatch across NEBEF, Spot, Intraday, and FCR markets (MILP, Lagrangian decomposition). DREEV became first French EV aggregator accredited for FCR by RTE (2022). Ongoing research on Frank-Wolfe decomposition methods as a replacement for Lagrangian decomposition in legacy algorithms.
    • Earlier work (2008–2012): task scheduling for maintenance planning, LNG terminal planning & scheduling, combustion and emission optimization for coal power plants.
  • 2007 - 2008

    Postdoctoral Fellow
    École Centrale de Paris, France
    • Combinatorial algorithms for medical imaging, with Nikos Paragios.
  • 2006 - 2007

    Postdoctoral Fellow
    University of Western Ontario, Canada
    • Graph cuts and combinatorial algorithms for computer vision, with Yuri Boykov.

Education

  • - 2006

    PhD in Computer Science and Mathematics
    École Nationale des Ponts et Chaussées (ENPC), France
    Computer Vision
    • Distinction. Dissertation: On Some Extensions of Level Sets and Graph Cuts & Their Applications to Image and Video Segmentation
  • - 2002

    Master MVA — Mathématiques, Vision et Apprentissage
    ENS Paris-Saclay (formerly ENS de Cachan), France
    Computer Vision

Awards

  • 2022
    IndusRO'2022 Prize
    ROADEF — French Operational Research Society

    Awarded for the industrial impact of Apogène on EDF’s power plant operations.

Teaching

Supervision

Talks

Recent Publications

Skills

Optimization: MILP, Branch-and-bound, Cutting planes, RCSPP, ADMM, Min Cost Flow, Constraint programming, Decomposition methods, Heuristics, Genetic Algorithm, Bundle methods, Frank-Wolfe decomposition
Solvers: CPLEX, GUROBI, SCIP, FICO Xpress, COIN-OR, HiGHS, Interior Point Methods
Machine Learning: Reinforcement learning, Graph Neural Networks, ML for combinatorial optimization
Frameworks: PyTorch, PyG, RLLib, Ray
Programming Languages: C++, Python, Julia
Spoken Languages: French (native), English (fluent)
Engineering: GitLab CI/CD, Docker, TBB, HPC / Slurm, Singularity, CMake, Conan