À propos de Joseph-André
Joseph-André has over 6 years of experience in artificial intelligence and machine learning, acquired as a senior data scientist in a leading Drug Discovery startup. He published several papers in the fields of geometric deep learning and reinforcement learning.
He is also a blockchain developer since 2021. He believes that the transparency of blockchain data will enable a fairer financial system with aligned incentives between the decentralized platforms and their users.
He graduated from École Polytechnique and holds a master’s degree in Applied Mathematics from Université Pierre-et-Marie-Curie.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- FreelanceWeb3 developerHIGH TECHdécembre 2021 - Aujourd'hui (4 ans et 6 mois)France
- Developed NFT Smart Contracts for Black Lemon (ERC1155 and ERC721A).
- Audited DeFi Smart Contracts for Cadmos Finance.
- Solved the Damn Vulnerable Defi CTF challenges to learn security best practices. Code is available on my GitHub with a blog post on Medium detailing the solutions.
- Built an NFT Marketplace from scratch using Hardhat, Solidity, TailWind CSS and NextJS framework. Code is available on my GitHub.
- Iktos, AI applied to medicinal chemistrySenior Data ScientistINDUSTRIE PHARMACEUTIQUEjanvier 2018 - novembre 2021 (3 ans et 10 mois)Paris, France
- Implementing machine learning models on graph-structured data.
- Designing an automated pipeline for model selection and uncertainty quantification.
- Comparison of generative models (reinforcement learning and evolution strategies with quality diversity) for multi-objective optimization and active learning.
- Sanofi Aventis Research CenterResearch Assistant in Deep Learningjuin 2017 - novembre 2017 (5 mois)91380 Chilly-Mazarin, France
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Formations
- Master degree in Applied MathematicsEcole Polytechnique in2017Master degree in Applied Mathematics
- Preparatory classLycée Saint Louis in2013Preparatory class