Resume

Senior Research Scientist at the intersection of AI systems, networking, and machine learning:

• AI Systems, Networking & Agentic Communications: designing deployable mechanisms for future networks and distributed AI agents – semantic communications, embedding compression, zero-shot alignment, and heterogeneous model interoperability, with attention to efficiency, scalability and deployment constraints
• ML Theory & Structured Learning: learning algorithms, neural architectures and convergence proofs for structured problems motivated by communications and coding
• ML for Radio Sensing: spatial localization from radio signals using digital-twin world models (technical lead)

Part of the founding research team of the Orange × CEA joint laboratory “AI-Native Communications”, a 5-year research collaboration officially announced at VivaTech 2026 by Orange CEO and CEA General Administrator, in presence of the French Minister for Digital and AI.

Contributions to 3+ EU/national research projects including:

• 6G-ARROW (2025-2027): SNS JU Korea-EU project on AI-native networks & Semantic Communications
• 6G-DISAC (2024-2026): SNS JU EU project on distributed sensing for 6G

Research impact:

• 6+ Publications in top-tier venues (ICML 2026, IEEE Trans. Commun., EUSIPCO, SPAWC, etc.)
• 25+ Patents filed
• Gold Reviewer — ICML 2026

Research on ML models for digital signal processing in the context of 6G cellular networks and their application to IoT connectivity. Focus on baseband signal processing and Forward Error Correction mechanisms. Designed state-of-art ML model to learn error correction codes in the short/medium length regime. Part of this work contributed to European Union Flagship Project on 6G, Hexa-X.

Research impact:

• 4 Publications in top-tiers telecommunications journals and conferences
• 2 Patents filled

Developpement of ML-based software tools for analysis, anomalies detection and prediction of traffic in the context of 5G IoT networks and IP-MPLS networks

In the CITY Research & Development team (IoT & Smart cities):

• Conception and development of embedded systems in an IoT context
• Conception of a power consumption measurement system for IoT devices
• Development of a MEAN stack software platform to manage LoRa™ communicating sensors
• Preliminary study for Machine Learning applications in mMTC technologies physical layer
• Contribution to the operation of the « Gr3Lieu » Fablab

In the electronic Research&Development team, development, tests and validation of high precision optical coordinate measurement machines.