Projects and Team

Current projects

  • ANR JCJC project: Personalized Optimization with Human Feedback (Human-O)
    [01/2024 - 12/2027] (1 PhD candidate, 1 postdoc)

  • PGMO IROE project: Efficient Quantum Encodings for Combinatorial Optimization and Smart Energy Applications (EQu-ECO-Energy)
    [09/2023 - 08/2025] (1 postdoc)

  • ANR France 2030 project: Hybrid HPC Quantum Initiative
    [02/2023 - 03/2027] (1 postdoc)

  • PGMO IROE project: Efficient Quantum Encodings for Combinatorial Optimization (EQu-ECO)
    [09/2022 - 08/2024] (1 intern)

  • CIFRE PhD Thesis: ML and optimization techniques for data mining in employee's satisfaction questionnaires
    [07/2022 - 06/2025] (1 PhD candidate)

Current team

Postdocs

  • Dylan Laplace Mermoud with S. Elloumi (ENSTA): combinatorial optimisation and quantum computing. PhD from Université Paris 1 Panthéon-Sorbonne

PhD candidates

  • Ugo Nzongani (co-directeur de thèse) with G. Di Molfetta (Aix-Marseille University): quantum walks for optimisation

  • Eliabelle Mauduit (directeur de thèse) with M. Bruyen (Greenworking): optimisation and machine learning

Interns

  • Qui Loc Phan with S. Elloumi and Dylan Laplace Mermoud (ENSTA): combinatorial optimisation and quantum computing

Visitors

Past projects

Past members

PhD candidates

  • Nicola Bastianello with R. Carli (Università di Padova): online optimisation. Now at KTH as a postdoc [link]

Interns

  • Leder Yhivert Aguirre Ramirez with S. Elloumi (ENSTA): combinatorial optimisation and quantum computing

  • Pauline Fleury with H. Clogenson (CHRU Tours): machine learning in hospital settings

  • Sayak Mukherjeey with H. Jamali-Rad (TU Delft): model agnostic peer-to-peer learning

  • Liam Madden: compilation for quantum computing. Now at University of British Columbia as a postdoc [link]

Visitors

  • Emanuele Dri PhD candidate at Politecnico di Torino: compilation for quantum computing