Projects and Team
Our research received funding from ...
Current projects
Hi!Paris fellowship: Hi!Sea-s: Unlocking Cyber-Physical and Social Systems: Time-varying optimisation, bandits & games with set-valued decisions [10/2026 - 09/2029] (1 PhD candidate, 2 postdocs) [project webpage]
CIEDS: Quantum optimisation via permutations for defence applications (Qu-Pi-Def) [10/2026 - 09/2030] (2 PhD candidate, 1 postdoc) [project webpage]
QuantERA: FeedbacQ [09/2026 - 09/2029] (1 postdoc) [project webpage]
CIFRE PhD Thesis with Quandela: Quantum optimisation and machine learning on photonic computers [09/2026 - 08/2029]
ANR JCJC project: Personalized Optimization with Human Feedback (Human-O) [01/2024 - 12/2027] (1 PhD candidate, 1 postdoc) [project webpage]
ANR France 2030 project: Hybrid HPC Quantum Initiative [02/2023 - 03/2027] (1 postdoc) [project webpage]
Current team
Postdocs
PhD candidates
Mattia Chiurco (directeur de thèse) with P.-E. Emeriau and E. Derbyshire (Quandela): quantum optimisation and machine learning
Qinyan Zhou (directeur de thèse): optimisation and machine learning
Ugo Nzongani (co-directeur de thèse) with G. Di Molfetta (Aix-Marseille University): quantum walks for optimisation
Interns
Visitors
Past projects
Hi!Paris project: SeaBandits: Set-valued Bandits in Dynamical Games with Unknown Opponents [01/2026 - 05/2026] (small collaborative project)
PGMO IROE project: Efficient Quantum Encodings for Combinatorial Optimization and Smart Energy Applications (EQu-ECO-Energy) [09/2023 - 08/2025] (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 - 08/2024] (1 PhD candidate)
Past members
Postdocs
Dylan Laplace Mermoud with S. Elloumi (ENSTA): combinatorial optimisation and quantum computing. PhD from Université Paris 1 Panthéon-Sorbonne. Next: Assistant professor at LIP6
Manh Hung Le: optimisation algorithms. PhD from Université de Limoges
PhD candidates
Eliabelle Mauduit (directeur de thèse) with Eloïse Berthier (ENSTA): optimisation and machine learning. Next: postdoc at INRIA Paris
Nicola Bastianello with R. Carli (Università di Padova): online optimisation. Next: postdoc at KTH [link]
Interns
Duncan Bordin with Z. Ales (ENSTA): machine learning for health
Qui Loc Phan with S. Elloumi and Dylan Laplace Mermoud (ENSTA): combinatorial optimisation and quantum computing
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
Visitors
Emanuele Dri PhD candidate at Politecnico di Torino: compilation for quantum computing