Associate Professor @ EPITA Research Laboratory
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EPITA Lyon - EPITA Research Laboratory (LRE)
Data Scientist
June 24, 2026 – Present
TANGO-CC
October 20, 2025 – October 24, 2025
Official Repository of the Paper "Differentiable Parameter-less Co-Clustering using Graph Neural Networks"
View ProjectLogiX-GIN
September 26, 2025 – October 29, 2025
Official Repository of the NeurIPS Paper "On Logic-based Self-Explainable Graph Neural Networks"
View Projectlogix
June 2, 2025 – June 11, 2025
Official Repository of the ECML-PKDD 2025 Paper "LogiX: Faithful Explanations for Graph Classification using Logic"
View ProjectTELL
August 11, 2024 – Present
Official Repository of the ECAI2024 Paper "Transparent Explainable Logic Layers"
View ProjectPrototypeGNN
September 5, 2022 – July 26, 2023
Official repository for Prototype-based Interpretable Graph Networks
View ProjectTRPO-Tensorflow2
November 15, 2019 – March 25, 2023
TRPO Implementation in Tensorflow 2.0 for Reinforcement Learning Project @ Sapienza
View Projectconfer-frontend
March 29, 2016 – April 8, 2017
A conference system to manage conference attendance for users and organizations likewise
View ProjectCultural Fit Analysis
The candidate's projects are heavily research-oriented and academic, focusing on advanced AI/ML topics. While this demonstrates deep technical expertise, the lack of diverse project types (e.g., production systems, team-based software development, client-facing applications) suggests a potential gap in experience with typical industry development cycles and collaborative environments. The single listed professional experience as 'Data Scientist' at a research laboratory further reinforces a strong academic/research alignment. This might require adaptation to a more product-driven or cross-functional team culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approaches, or communication style beyond technical writing.