About Lucas
French
Native or bilingual
English
Fluent
Experience
- Le WagonTRAINING ASSISTANT in a BootcampEDUCATION AND E-LEARNINGNovember 2024 - Today (1 year and 7 months)Paris, France• Teaching complex concepts of Machine Learning, Deep Learning, and ML Ops (packaging, deployment, automation).• Advising on best practices in programming and structuring Data Science projects; debugging student code.
- Institut de Biomécanique Humaine Georges Charpak (IBHGC)CIFRE THESISMEDICALJanuary 2021 - January 2024 (3 years)Paris, FranceTitle: “Improvement of prosthetic propulsion systems for transfemoral amputees” - Nominated for the BEZIER prize• Study of metabolic overconsumption in amputees by analyzing joint powers during walking.• Prototyping a new prosthetic foot: design, simulation, 3D printing, mechanical testing, motion analysis.• Participation in a clinical study; design of experimental protocols; collaboration between researchers/engineers/clinicians.• Collection, processing, and analysis of motion data (Matlab); pipeline creation; multivariate statistical analyses (R).• Publication of 10 international scientific communications, including 3 in peer-reviewed journals (ORCID ID: https://orcid.org/0009-0005-8218-4812).
- Institut de Biomécanique Humaine Georges Charpak (IBHGC)RESEARCH ENGINEERING INTERNSHIPMEDICALFebruary 2020 - July 2020 (5 months)Paris, France• Development and implementation of a kinematic model to identify walking situations in real-time from inertial measurement units (IMUs) located in a prosthetic leg for amputees.• Experimentation with patients and clinicians; motion analysis (Vicon); signal processing (Matlab); statistical analysis (R).
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Education
- LEVEL 6 CERTIFICATION “DATA SCIENCE & AI”Le Wagon2024• Formation intensive en Machine Learning et Deep Learning : manipulation de données, développement de pipelines, optimisation de modèles prédictifs et déploiement d'algorithmes avancés. • Compétences clés : maîtrise avancée de Python (Pandas, SciPy, Scikit-Learn, TensorFlow, Seaborn), SQL, API, Git et GCP. PORTEUR DE PROJET – 4 membres | Le Wagon | Paris Développement de modèles prédictifs pour les interactions molécules-protéines à partir d’une base de données Kaggle. • Préparation des données : extraction, nettoyage, feature engineering (mise à l’échelle, encodage, utilisation de la librairie RDKit). • Entraînement, évaluation et validation de modèles de ML et de DL ; optimisation des hyperparamètres (GridSearch, RandomSearch). • Packaging et création de pipeline, utilisation de GCP pour le stockage des données et l’entrainement des modèles sur une VM.
- PHD IN BIOMECHANICSArts et Métiers ParisTech (ENSAM)2024DOCTORAT EN BIOMÉCANIQUE