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AI Research Scientist with 8+ years in AI-native Earth System Modeling & Scientific Machine Learning
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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 Researcher · Data Assimilation & Machine Learning for Geophysical Dynamics
December 1, 2017 – April 1, 2021
Sorbonne University
MSc. in Signal Processing & Artificial Intelligence · Signal Processing & Artificial Intelligence
September 1, 2015 – September 1, 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
Neural-BGC: An Observation-Driven Emulator for Hybrid Physical-Biogeochemical Modeling
Geophysical Research Letters (GRL)
January 1, 2026 – Present
Learning-Based Methods and the Future of Numerical Ocean and Sea Ice Modeling
Annual Review of Marine Science (ARMS)
January 1, 2026 – Present
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
EU project
January 1, 2025 – Present
Artificial intelligence for modeling and understanding extreme weather and climate events
Nature Communications
January 1, 2025 – Present
Enhanced Computational Complexity in Continuous-Depth Models: Neural Ordinary Differential Equations With Trainable Numerical Schemes
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
EU project
January 1, 2024 – Present
Online calibration of deep learning sub-models for hybrid numerical modeling systems
Communications Physics
January 1, 2024 – Present
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
IEEE/CAA Journal of Automatica Sinica
January 1, 2023 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit due to their extensive experience in collaborative, multidisciplinary research environments, working with various international institutions, government agencies, and industry partners. Their involvement in defining national scientific strategies and leading diverse projects demonstrates a proactive and impactful approach to research. The breadth of their projects, from fundamental AI research to operational geospatial products, indicates a versatile and adaptable researcher who can thrive in dynamic settings. Their mentorship experience also suggests a commitment to knowledge sharing and team development.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and cross-disciplinary collaboration skills through their role as an AI Research Lead and Professor. Their experience in managing large research portfolios and leading diverse teams suggests excellent organizational and interpersonal capabilities. The ability to define national scientific strategies and bridge fundamental AI research with operational scientific discovery indicates a strategic mindset and a strong drive for impact. The candidate's extensive international collaborations also highlight strong communication and networking abilities, crucial for an AI Research Scientist role.