Pau, Nouvelle-Aquitaine, France
Life Purpose: With a profound understanding of applied sciences, physics, mathematics, and (generative) AI, I am committed to deciphering the complexities of intricate geophysical data. My mission is to forge strategic partnerships across various disciplines, enabling a comprehensive understanding of natural and industrial processes, and delivering actionable insights to clients Vision and Impact: Innovation in the energy sector exemplifies human ingenuity and collective effort. It involves creating smarter, more eco-responsible extraction methods, requiring multi-energy development globally, aiming to gradually replace conventional fuels, and using AI-assisted processes to optimize production and storage. My current work is reshaping the pre-industrialization era, fostering a sustainable ecosystem where humanity is responsible for both health and technological advancement. Favorite Quote: "In an increasingly complex world, scientists need both tools: images as well as numbers, geometric vision as well as vision." - Benoît Mandelbrot Key Achievements: - Leading Quality Control (QC) for the internal HERITAGE Geoscience & Reservoir database used by over 1,500 collaborators worldwide (2025-present) - Developed advanced Computer Vision models to accelerate training and inference workflows for MicroDeep, ARGOS, Biodiversity, Papua-LNG R&D projects at TotalEnergies OneTech (2023-2024) - Designed an automated Google Earth Engine pipeline for flood detection and monitoring near the EACOP pipeline, leveraging Sentinel-1 radar data (2022) - Applied Seismic-While-Drilling (SWD) processing to Xact data acquired in the North Sea (2021) - Contributed to the preparation of the ANGELS nanosatellite onboard (IoT Argos-Néo, French NewSpace) (2019) - Detected and characterized icebergs using Sentinel-3 sensors (SRAL & OLCI, Copernicus program) for maritime races around Antarctica (2018) - Resolved the Potsdam bias in DIAS gravity data acquired in Ireland by Dr. Thomas MURPHY between 1950 and 1980, and compared with ESA GOCE satellite data (2017) - Monitored ES Géothermie geothermal reservoirs in Rittershoffen & Soultz-sous-Forêts using microgravimetry acquisitions on field (2016)
Entity: OT/TL/G&R/EXC/KM/ QC on internal attribute of FieldBook inside the HERITAGE application, used by 1500 geoscientists worldwide, to enhance it: - Checking, cleaning & filling Field & Reservoir attributes using Excel Sheets, extracted from internal databases - Monitoring changes in the filling of the HERITAGE database, identify anomalies and compile monthly overall statistics - Monthly databases back up and format them using internal Power BI - Adaptation of internal BI tools to the evolution of the application - Creation of a robust Power BI to compare the evolution and shifts between two months of internal DB extraction - Monthly statistical report automation with DAX coding in Power BI - Using Copilot to find the names of the operating companies of thousands of O&G companies and joint ventures around the world
Developing innovative solutions in image processing and Computer Vision, leveraging TotalEnergies’ High Performance Machine Learning (HPML) environment. • Computer Vision Frameworks: Expertise in object detection and instance segmentation using YOLO-v8, Detectron2, and TFOD. Proficient in image processing with OpenCV scripting for R&D projects like ARGOS (robotics), MicroDeep (microalgae), Biodiversity (phototraps), and SYRACO (nannofossils). • Workflow Automation: Streamlined and unified Computer Vision components using the Snakemake workflow management library (Python). • Green Water Flow Quantification: Combined Sentinel-2, PlanetScope, and drone imagery with in-situ weather station data to quantify evapotranspiration for the WACAPOU R&D project. Utilized tools like Sentinel-Hub EOBrowser, ArcGIS PRO, PlanetExplorer, Google Earth Engine and QGIS. Contributing to a poster for the SPIE Sensors + Imaging conference based in Edinburgh (September 2024) • Biodiversity Preservation: - Utilized the Microsoft PyTorch-Wildlife collaborative framework for automated biodiversity labeling. - Conducted database correction and validation with the expertise of specialist ecologists. - Performed extraction, data augmentation, and classification of animal images using YOLOv8-cls Contributed to the preservation and census of animal species near TotalEnergies assets. • Geological Facies Prediction: Applied Gradient Boosting Decision Trees (GBDT) models to predict geological facies using 3D seismic cubes. Evaluated I/O performance across different file systems. • Seismic Data Analysis/Processing: Enhanced the internal DIVA seismic toolbox for SEG-Y/SEP data analysis and processing on Pangea-3/4 supercomputers. • Forecasting flooding for TotalEnergies' Papua LNG project using satellite, AI and in-situ data
Part of the Operational Remote Sensing Team in the Geospatial entity of DataTech during 1 year. • Offshore Oil Slick Mapping: Specialize in mapping, interpreting, and classifying offshore oil pollution near FPSO in regions such as Africa (Gabon, Congo, Angola) and the Middle East (Qatar) using Sentinel-1A and ArcGIS PRO. Conduct monitoring every 12 days. • Flood Mapping R&D: Contribute to the DEMETER R&D project by automating flood mapping through SAR image processing from Sentinel-1A, utilizing geemap workflows in Python and Google Earth Engine (GEE) under Google Cloud Platform (GCP). Major collaborations with the DEMETER R&D entity. • Continuous Learning: Engage in e-learning courses on Copernicus and Mathematics for Machine Learning to stay updated with the latest advancements. • Language Proficiency: Improving English skills through training with Intercountry, progressing from B2 to B2++ level.
Study context: https://www.youtube.com/watch?v=RiMzjFHjW4k https://www.hemeria-group.com/nos-videos/ Use of a BDS (Excel) created and modified by NEXEYA. OCTAVE (coded by CS): Tools and Components for Telemetry Processing, Acquisition, Visualization and Exploitation Octave (@CS) Provides the basic services of a TM and TC processing platform - create operational procedures (Octave @CS) containing all commands transmitted to the ANGELS nanosatellite o2pl (xlm) file written : DHS_PAR_CptRstRead, DHS_PAR_CptRstWrite, DHS_PAR_CptRstRead, DHS_PAR_CptRstReinit, DHS_PAR_FlagSatWrite, DHS_PAR_FlagSatRead, DHS_PAR_GENRead, DHS_PAR_LimiteCptRstEcriture, DHS_PAR_LimiteCptRstLecture, DHS_PAR_SeuilBattEcriture, DHS_PAR_SeuilBattLecture, DHS_PAR_VersionLVDemEcriture, DHS_PAR_VersionLVDemLecture I spent a day testing coded operating procedures in a clean room at NEXEYA (testing on FlatSat). - develop pages to visualize satellite parameters, so as to control and monitor its operation. Thanks to Octave (CS) I was able to control and visualize the parameters read and modified by FCP execution (e.g. Battery.qvk) - Graphical HMI interface - help prepare ANGELS nanosatellite operations - create calculated parameters and monitoring with Best & Castor (Excel) tool - in-house training towards the end of my contract: Jason-2/3 mission, SMOS, POPS, PrestoPlot/PrestoDecom, SCAO & PROTEUS payload, SuDo, ISIS & Step-2, S3WNG - Use of PROTON and VTS software to simulate actual satellite trajectory and orientation over time, using files from G2. - PROTON will be used to convert TM from G2 into a format readable by VTS. - VTS is the main tool for visualizing simulations in Celestia.
I worked at CNES in the service DNO/OP/MAE
Improving the Teledetection and Characterization of Icebergs for Around-the-World Sailing Races using Sentinel-3A Multi-Sensor Data (SRAL, OLCI) - Copernicus Programme Around-the-world sailing races (CLS) [FR]: https://www.youtube.com/watch?v=evkd5dSel-Q Copernicus programme [EN]: https://www.youtube.com/watch?v=MGJss4lDaBo&t=5s CLS Group (presentation) [EN]: https://www.youtube.com/watch?v=Ld_bEHlke3g&t=1s CLS race: https://www.cls.fr/en/vg2016-race-satellite-surveillance/ Key Responsibilities: • Investigated and exploited characteristic peaks found in Level-2 (Sentinel-3A) SRAL ocean data. • Characterized the presence of icebergs in the Trailing Edge portion of SAR echoes. • Designed and developed processing chains and automated workflows (Python & Shell scripts) for mapping icebergs at different threshold levels under Google Earth (generation of kmz files). • Investigated OLCI data using the SNAP toolbox for prototyping and implementing automated workflows in Python. • Implemented methods for the discrimination of cloud, sea ice, and cloud ice. • Compared the observation capacities between altimetry missions Jason-2/3, Saral/Altika, HY-2, and Sentinel-3A (conventional vs SAR altimetry). • Analyzed the current drift of Sargassum seaweeds near the Caribbean Sea using OLCI processed images (Maximum Chlorophyll Index). Achievements: • Integrated the service of iceberg teledetection and monitoring provided by CLS, including the cartography of icebergs from Sentinel-3A (satellite altimetry, SAR & p-LRM modes) and hectometric sea ice/icebergs found in OLCI processed images (300 m resolution). • Studied the Sargassum seaweeds issue near the Caribbean Islands using OLCI processed images. Collaborations: • Interacted with SIRS, BU Espace, and CLS Brest.
SUGS (Strasbourg University Geophysical Society) is a student association of the engineering school EOST, comprising 9 members for the year 2016-2017. SUGS develops school-company partnerships through conferences and field trips. We planned and organised : - the annual EAGE Conference & Exhibition in Paris (49 students participated in this event) - three conferences - events with Geophyse (EOST Alumni association) Involved as Vice-President of this association in 2017. For further information: http://sugsstrasbourg.wixsite.com/sugseost