👋 Hi, I'm Paul Peyssard, a passionate Master 2 student specializing in Artificial Intelligence & Machine Learning at Aix Marseille University - Centrale Marseille.
- Master 2 in Artificial Intelligence & Machine Learning (Centrale Méditerannée - Aix-Marseille University) - Focusing on cutting-edge AI research and applications.
- International Master 1 in Artificial Intelligence & Data Science (Côte d'Azur University) - Focusing in the basis of deep learning & statistics
- B.Sc. in Computer Science (Aix-Marseille University) - Where my journey into the world of coding and algorithms began.
- Internship at Veracyte - Applied my AI skills in a real-world healthcare setting, practicing cancer diagnosis and processing Whole Slide Images
- Internship at Airbus Helicopters - Different applications, and models such as Anomaly Image Detection on helicopter's main gear boxes
- Research project with IBM - Contributed to improving ML models using IBM's Deep Neural Network, R2N.
- Veracyte - Data Augmentation Projects (In Progress, Confidential) - Whole Slide Image Data Augmentation & Normalization (Bioinformatics - Deep Learning)
- Airbus - Main Gear Box Anomaly Detection (Confidential) - Detection of different anomaly (Fretting, corrosion...) on helicopters main gear boxes (Image anomaly detection)
- Airbus - Fuel Flow Prediction (Confidential) - Prediction of fuel flow consumption on helicopter's takeoff
- Projet PSTALN - Comparaison of Pre-trained transfomers and home-made transformers on POS tagging
- Projet SAM - Multi-Modal Turn-To-Speak deep learning model detection using speech, sound and videos (Comparaison of early and late fusion)
- Molecule Generator - Molecule generation using constraint programming (COP) in collaborations with chemist (Research Project)
- Pet Adoption Prediction - Utilizing ML algorithms to predict pet adoption rates.
- Word2Vec Implementation - Building the Word2Vec Skip-gram model from scratch for natural language processing tasks.
- Learning Compact Transparent Models using Neuro-Symbolic Methods - Research project aimed at enhancing ML models' efficiency and transparency.
- Statistics Projects 2022 - A series of projects exploring statistical analysis methods.
- Neural Network Optimization
- BioInformatics and Whole Slide Image processings
- LinkedIn: Paul Peyssard
- Email: paul.peyssard@gmail.com
- AI in Healthcare
- Ethical AI
- Open Source Contribution
Thank you for visiting my profile! Feel free to explore my repositories and reach out if you have any questions or collaboration ideas.