Ambroise Renaud

AI Engineer | PhD | Mines Paris - PSL

LinkedIn: linkedin.com/in/ambroiserenaud

AI Engineer with a PhD in Data Science from Mines Paris - PSL. Specialized in machine learning, deep learning and large-scale data systems for industrial and defense applications. Experienced in building end-to-end AI solutions, from data pipelines to model deployment.

Experience

Dec 2025 - Present ALTEN - AI Engineer

Developing AI and ML solutions for industrial and defense applications.

Dec 2021 - Nov 2025 CRC Mines Paris - PSL - PhD Candidate

Applied deep learning and Graph Neural Networks to predict vessel RF reception areas from high-volume maritime data streams.

Mar 2021 - Nov 2021 Naval Group - Data Scientist

Built scalable data ingestion pipelines using graph representation and ontologies for NATO-EU maritime awareness.

Jul 2020 - Jan 2021 Naval Group - Data Science Intern

Developed AutoML and genetic algorithm strategies for RNN optimization in naval defense applications.

Jul 2019 - Sep 2019 NATO CMRE - Data Science Intern

Developed an ML pipeline to detect and classify suspicious vessel behavior from AIS signals.

Jun 2018 - Sep 2018 CRC Mines ParisTech - Data Engineering Intern

Deployed maritime data acquisition infrastructure and optimized database performance.

Education

2021 - 2025 Mines Paris - PSL

PhD, Data Science (Science and Engineering of Hazardous Activities)

Thesis: "Graph neural network-based modeling of AIS reception areas in maritime environments"

2019 - 2020 EPFL

MSc Exchange Program, Data Science

2017 - 2021 ENSISA

Engineer's Degree, Computer Science

2015 - 2017 Stanislas Cannes

CPGE PCSI/PSI, Physics & Mathematics


Last updated: February 2026