Welcome to my GitHub Profile!

👋 Hi, I'm Paul Peyssard, a passionate Master 2 student specializing in Artificial Intelligence & Machine Learning at Aix Marseille University - Centrale Marseille.

🎓 Academic Background

• 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.

💼 Professional Experience

• 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.

📚 Projects Highlight

• 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.

🌱 I'm currently learning

• Neural Network Optimization
• BioInformatics and Whole Slide Image processings

📫 How to reach me:

• LinkedIn: Paul Peyssard
• Email: paul.peyssard@gmail.com

⭐ My interests include:

• 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.