About Samuel
Diplômé ingénieur à l'École des Ponts ParisTech puis d'un M2 en Mathématiques, Vision et Apprentissage de l'ENS Paris-Saclay.
💻 J'ai effectué des stages dans des industries et domaines très variées, tout en essayant en permanence d'utiliser des outils d'IA :
- 🎥 Data scientist dans l'industrie cinématographique (Warner Bros Entertainment).
- 🔬 Chercheur en IA dans le domaine médical (Harvard).
- 🕹️ Ingénieur de recherche en apprentissage par renforcement dans l'industrie militaire (Thales R&D).
- 📈 Chercheur en stratégie financière (Quantitative researcher) dans un hedge fund (Squarepoint capital)
J'ai de l'expérience en statistiques, machine learning, computer vision et reinforcement learning.
🤖 Passionné d'informatique, je mets mes compétences techniques et théorique au service de vos projets. J'aime explorer, et apprends continuellement les derniers outils et les meilleurs algorithmes pour apprendre en permanence.
Je serais ravi de discuter avec vous de vos projets et vous conseiller au mieux.
Graduated as an engineer from École des Ponts ParisTech and then from a master's degree in Mathematics, Vision and Learning from ENS Paris-Saclay.
💻 I've done internships in a wide variety of industries, while constantly trying to use AI tools:
- 🎥 Data scientist in the movie industry (Warner Bros Entertainment).
- 🔬 AI researcher in the medical field (Harvard).
- 🕹️ Reinforcement learning research engineer in the military industry (Thales R&D).
- 📈 Financial strategy researcher (quantitative researcher) in a hedge fund (Squarepoint capital).
I have experience in statistics, machine learning, computer vision and reinforcement learning.
🤖 Passionate about computer science, I put my technical and theoretical skills at the service of your projects. I like to explore and continuously learn to discover the latest tools and best algorithms to learn continuously.
I would be happy to discuss with you about your projects and advise you at best.
French
Native or bilingual
English
Fluent
Can work on-site
Paris 12e Arrondissement (up to 50km)
Experience
- ThalesResearch InternApril 2021 - Today (5 years and 2 months)91400 Saclay, FranceResearch Internship in Deep Reinforcement Learning.
- Harvard UniversityResearch internFebruary 2020 - August 2020 (6 months)Boston, MA, USAResearch internship in Chirag Patel's group at the Department of Biomedical Informatics, Harvard Medical School : https://www.chiragjpgroup.org/ I worked on the biological age of patients. This is a measure of how much damage and wear and tear the body has accumulated over time and the true underlying cause of age related diseases. I worked under Alan Le Goallec's supervision and focused more specifically on tabular data. I built machine learning models to predict the Biological Age of patients using various organ data. I also conducted an Epigenome Wide Association Study (EWAS) in order to measure the impact of environmental data on the rate of aging. Then, I built a website using Dash, AWS, and Google App Engine to present my results but also the results of other people working on the project. The website can be found here : https://www.multidimensionality of-aging.net/ and the paper on medRxiv: https://www.medrxiv.org/ content/10.1101/2021 .04.25.21255767v1 is currently under review.
- Warner Bros. EntertainmentData scientist internFILM AND AVJuly 2019 - January 2020 (6 months)Neuilly-sur-Seine, France
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Education
- Master (M2) MVA, Machine Learning & Computer VisionÉcole normale supérieure Paris-Saclay2021Master (M2) MVA, Machine Learning & Computer Vision
- Computer scienceHarvard University2020Computer science