Freelancer profile translated to English.
Back to original languageAbout Florian
👨🔬 Doctorate in Data Science and Computer Vision | Expert in AI and Image Processing
I am currently completing athesis dedicated to 3D image segmentationof electron microscopy and high-dimensional data analysis in biology. My work combines advanced image processing, mathematical modeling, statistics, and machine learning to extract, analyze, and interpret complex information from large-scale biological data. I develop robust, interpretable, and optimized methods to address demanding scientific and industrial challenges. Myinsatiable curiositydrives me to explore and master new fields, whether scientific or not! 🚀
🎓 Outstanding Educator: Thanks to my years of teaching (mathematics aggregation, high school and engineering school teaching), I have acquired a real ability to simplify and convey complex concepts clearly and structurally, which facilitatesinterdisciplinary collaboration.
What I can do for you:
- Image Processing: preprocessing, filtering, post-processing, 2D/3D visualization.
- Computer Vision: convolutional neural networks, GANs, Transformers, 2D/3D architectures, classification, detection, segmentation (semantic, instance) of complex structures.
- Machine Learning & Deep Learning: classification, prediction, model interpretability, reproducibility, cross-validation optimization.
- Advanced Data Analysis: exploration, statistical modeling, rigorous validation of results.
Technical Stack 🔧:
Python (Numpy, Scipy, PyTorch/Tensorflow, pandas, SimpleITK, Scikit-image, OpenCV, seaborn, Scikit-Learn, etc.), R, Matlab ✅
Paraview for 3D visualizations 🌟
📩 Contact me to discuss your needs and explore how we can collaborate effectively.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- INSERMPHD StudentOctober 2022 - September 2025 (2 years and 11 months)Bordeaux, France• 3D scanning electron microscopy image treatment and analysis• Development of new deep learning methods for the segmentation ofvarious biological elements• 4 published articles and international scientific talks
- INSERMM2 InternJune 2022 - September 2022 (3 months)Bordeaux, FranceTeam SISTM (INSERM U1219 and INRIA), under the supervision of Melanie Prague :- comparison to modeling jointly with variation am approach viral load and immune response against SARS-CoV-2 in NHP study.- comparison of variational approach and sequential approach by Kalman Filter in case of very stiff model and sparse data.- use Monolix,R and Matlab softwares
- Ministère de l'Éducation nationale, de la Jeunesse et des SportsAggregated Mathematics TeacherSeptember 2020 - September 2022 (2 years)Lycée Jean Zay, Orleans, FranceFull-time
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Education
- Master 2 (M2), Probabilities and Random ModelsSorbonne University2022Master 2 (M2), Probabilites et modeles aleatoires
- M2 MEEF, Secondary Education and TrainingUniversity of Bordeaux2021M2 MEEF, Formation et enseignement secondaires