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AI Research Scientist with 7+ years in AI-native Earth System Modeling and Scientific Machine Learni
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Assessing your cultural and operational fit
AI Research Lead and Tenure Track Professor managing a €2M+ research portfolio focused on AI-native Earth System Modeling and Scientific Machine Learning (SciML). Proven track record of bridging fundamental AI research with operational scientific discovery, defining national scientific strategies, and leading cross-disciplinary teams. Adept at identifying high-impact "white spaces" for funding and driving multi-year research agendas in collaboration with international institutions, government agencies, and industry partners.
IMT Atlantique
PhD · Data Assimilation & Machine Learning for Geophysical Dynamics
August 1, 2017 – June 30, 2021
Sorbonne University
MSc. · Signal Processing & Artificial Intelligence
August 1, 2015 – June 30, 2017
NYU Abu Dhabi
Visiting Research Collaborator
April 1, 2023 – July 1, 2023
Abu Dhabi, United Arab Emirates
IMT Atlantique
Tenure Track Professor (Chaire de professeur junior) & AI Research Lead
January 1, 2023 – Present
Brest, Brittany, France
OceanDataLab
Research Engineer - Deep Learning for Geophysical Downscaling
July 1, 2021 – September 1, 2021
Brest, Brittany, France
IMT Atlantique
PhD Researcher - Data Assimilation & Machine Learning for Geophysical Dynamics
December 1, 2017 – April 1, 2021
Brest, Brittany, France
LEAP-HCS
PEPR TRACCS project
January 1, 2025 – Present
NeuralOGCMS
PPR Ocean & Climate project
January 1, 2025 – Present
HROMS
Cluster SequoIA project
January 1, 2025 – Present
AI4COPSE (WP6)
EU project
January 1, 2025 – Present
AI4Extremes
French ANR project
January 1, 2024 – Present
OL4ROMS
CNRS project
January 1, 2024 – Present
4DVarNet-OFDA & OceanBench-STOF
Copernicus Marine Service projects
January 1, 2024 – Present
AI4PEX (WP2)
EU project
January 1, 2024 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit for a research-intensive, collaborative environment. Their extensive international collaborations (Europe, Asia, USA), participation in numerous EU and ANR projects, and work with various research institutions and industry partners demonstrate a global perspective and adaptability. The diversity of their projects, focusing on climate, oceanography, and extreme events, shows a broad interest and ability to work across different scientific domains. Their role in defining national scientific strategies and leading multidisciplinary teams aligns well with organizations seeking impactful, collaborative, and forward-thinking research leaders.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team management, and cross-disciplinary collaboration skills through their current role as an AI Research Lead and Professor. Their experience in managing a large research portfolio, defining scientific strategies, and working with diverse external partners indicates excellent organizational and strategic thinking abilities. The candidate's involvement in organizing scientific events and academic service also highlights their commitment to community and knowledge sharing. The candidate's ability to lead and mentor PhD and Master's students further underscores their operational fit for a senior research role.