Charles Gaydon
Senior Data Scientist - AI Feature Team
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolCharles Gaydon is a Senior Data Scientist and AI R&D engineer with 11 years of experience applying deep learning to scientific and mission-driven problems across pharma, geospatial mapping, and healthcare. Trained in bioinformatics and biomathematics, he has led bioclinical research on drug safety and built national-scale 3D LiDAR production pipelines at IGN, open-sourcing Myria3D and releasing large benchmarking datasets (FRACTAL, PureForest). At Servier he focuses on GenAI for Patient & Medical Affairs, combining domain knowledge, mathematical modelling and production-grade cloud engineering to deliver actionable insights. He also volunteers on public-good data projects and has a track record of translating research prototypes into deployed systems that bridge domain experts and ML teams.
11 years of coding experience
4 years of employment as a software developer
Biomathematics Bioinformatics and Computational Biology, Biomathematics Bioinformatics and Computational Biology at Ludwig-Maximilians-Universität MünchenEngineer's degree Biomathematics Bioinformatics and Computational Biology, Engineer's degree Biomathematics Bioinformatics and Computational Biology at INSA Lyon - Institut National des Sciences Appliquées de LyonData science, Data science at Technical University of MunichFrench high school diploma with first class honors Scientifique, French high school diploma with first class honors Scientifique at Lycée Stanislas NiceMaster en Informatique Data Science, Master en Informatique Data Science at Université Claude Bernard Lyon 1
French, English, German
Stackoverflow
347reputation
54kreached
9answers
0questions
Github Skills (151)
pdal10
othello10
geodata10
deep-learning10
graph-convolutional-networks10
french10
gomoku10
classification10
semantic-segmentation10
graph10
pointnet10
rule10
lidar10
graph-neural-network10
geometric-deep-learning10
Programming languages (4)
Github contributions (5)
CharlesGaydon/Dater-to-Vec
Dec 2020 - Feb 2021
Collaborative filtering in dating. A NLP-based user embedding approach inspired from Tinder's TinVec.
Contributions:52 commits, 2 PRs, 20 pushes in 2 months
nlpldaapproachcollaborative-filteringgensim
IGNF/pacasam
Jun 2023 - Jul 2024
Patch-Catalogue-Sampling: methods to sample a catalogue (e.g. PostGIS database) of data patches based on their metadata, for deep learning dataset pruning.
Contributions:54 reviews, 55 PRs, 265 pushes in 1 year 1 month
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