CV

Education

• Ph.D in Computer Science, École Normale Supérieure, 2027 (expected).
  • Optimization and control algorithms for distributed agents in energy networks,
  • Supervised by Ana Busic, ARGO team at Inria Paris
• MSc in Complex Adaptive Systems, Chalmers University of Technology, 2023.
  • Thesis: Multi-task French speech analysis with deep learning - Emotion recognition and speaker diarization models for end-to-end conversational analysis tool.
• Engineering Degree in Material Science & Mechanical Engineering, École Centrale de Nantes, 2021.

Work experience

• 03/2020-03/2021: Production Engineer
  • Syos, Paris
  • In charge of the selection and qualification of a polymer material for FDM 3D printing of saxophone mouthpieces.
  • Development of a software to automate and optimize the production process for a factory of 30 3D-printers (one of the largest in France)
• 12/2022-11/2024: R&D Data-Scientist
  • La Javaness, Paris
  • Deep Learning for speech processing: Automatic Speech Recognition, Emotion Recognition & Speaker Diarization
  • Software development.
  • Supervised and Reinforcement Learning for power grid management in collaboration with RTE (French TSO)

Publications

COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning

Sintes, Jules. (2025). " COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning "

AI challenge for safe and low carbon power grid operation

Pavão, Adrien, Marot, Antoine, Sintes, Jules, Möllerstedt, Viktor Eriksson, Crochepierre, Laure, Chaouache, Karim, Donnot, Benjamin, Dang, Van Tuan, & Guyon, Isabelle. (2025). "AI challenge for safe and low carbon power grid operation." Energy and AI, 100564. Elsevier.

Multi-task French speech analysis with deep learning Emotion recognition and speaker diarization models for end-to-end conversational analysis tool

Sintes, Jules. (2023). "Multi-task French speech analysis with deep learning Emotion recognition and speaker diarization models for end-to-end conversational analysis tool."

Talks

Teaching

Service and leadership

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