About Jean-Baptiste
🧠 Biosignal Analysis & Machine Learning for Health and Sports
I design data-driven solutions for physiological signal analysis (EEG, sleep, ECG, BCI), with applications in research, healthcare, and human performance.
Core expertise
- Biosignal processing: preprocessing, feature engineering, time-frequency analysis
- Machine learning: classification, event detection, models tailored to clinical constraints
- Uncertainty quantification and model calibration
- End-to-end ML pipelines: from exploration to production (MLflow, AWS, Docker)
EEG & neuroscience focus
- EEG analysis (scalp and intracranial): sleep, epilepsy, vigilance
- Development of BCI prototypes
- Collaboration with multidisciplinary teams (clinicians, researchers, engineers)
Approach
- Strong focus on methodological rigor and reproducibility
- Emphasis on validation and interpretability
- Adaptation to real-world constraints (noisy data, limited datasets, inter-subject variability)
I work on both applied research projects and product-oriented developments.
📩 Available to discuss projects in biosignals, EEG, and machine learning for healthcare.
French
Native or bilingual
English
Fluent
Can work on-site
Toulouse (up to 50km), Paris (up to 50km), Marseille (up to 50km), Bordeaux (up to 50km), Lyon (up to 50km)
Experience
- FreelanceEEG - ML Scientist — Affective ComputingBIOTECHMarch 2026 - Today (3 months)Toulouse, France- Designing EEG experiments for emotion recognition using the EMOTIV EPOC X.- Building acquisition, preprocessing, and analysis workflows for affective computing in ecological settings.- Evaluating signal quality, methodological feasibility, and experimental constraints for real-world emotion-related EEG use cases.- Supporting early model and product validation through iterative R&D experimentation.
- FreelanceEEG - ML scientistMEDICALNovember 2025 - March 2026 (4 months)Toulouse, France- Mise en production d'algorithmes de Sleep Staging. Gestion des conventions de nommage d'électrodes, ingestion, prédiction.- Développement d'interface FastAPI- Production de Classifier pour l'analyse de somnolence- Simple classifier- Reseaux de neurones CAM + DANN pour l'interprétabilité et le transfert cross-sujets
- FreelanceConsultant en Neurosciences & Machine LearningHEALTH AND WELLNESSNovember 2025 - November 2025Toulouse, France- Réalisation d’une revue de littérature exhaustive sur l’utilisation des signaux EEG pour la détection des émotions en contexte écologique- Analyse du potentiel scientifique et technique d’un futur casque EEG dédié à l’analyse émotionnelle en contexte écologique (opportunités, risques, contraintes matérielles et méthodologiques).- Proposition d’un plan expérimental et d’une feuille de route R&D pour valider la faisabilité du produit et structurer les premières étapes de la startup.
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Education
- Master Sciences CognitivesUniversité Lyon II2021IA et Data Sciences appliquées à l'analyse de jeux de données complexes, cérébraux et comportementaux. Modélisation des mécanismes sous-tendant l'action humaine
- Licence PsychologieUniversité Toulouse II2019Psychologie, Ergonomie & Psychologie Sociale Compréhension des mécanismes humains impliqués dans les interactions sociales et numériques
Certifications
- Dynamical Systems and ChaosSanta Fe Institute2022