Gabriel Dulac-arnold
Research Scientist at Google DeepMind
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolGabriel Dulac-arnold is a seasoned AI researcher specializing in reinforcement learning and inverse RL, with 14 years across academia and industry. He is currently a Research Scientist at Google DeepMind, building scalable RL solutions and contributing to cutting-edge AI research. His career also includes founding Blacksheep AI Labs and serving as an operating partner at Air Street Capital, blending entrepreneurship with hands-on research. He earned a PhD in Reinforcement Learning from Université Pierre et Marie Curie, where he worked on speeding RL with Error-Correcting-Output-Codes for large action spaces and explored deep nets for RL and image recognition. Based in Paris, his work spans global collaborations and academia-to-industry impact, reflecting a broad perspective on deploying robust RL systems.
15 years of coding experience
16 years of employment as a software developer
Lexington High SchoolIngénieur / Master of Science (M. Sc.), Software Engineering, Ingénieur / Master of Science (M. Sc.), Software Engineering at Institut national des Sciences appliquées de LyonExchange, Machine Learning, Exchange, Machine Learning at IIT MadrasPhD, Reinforcement Learning / Machine Learning, PhD, Reinforcement Learning / Machine Learning at Université Pierre et Marie Curie (Paris VI)
English, French, Spanish
Github Skills (13)
bed8
activity-monitor7
jstree7
php7
javascript6
backbonejs6
federated6
icu5
monitor5
owncloud5
server-core4
self-hosting4
file-sharing4
Programming languages (2)
Github contributions (4)
LaboCitoyen/thingstream
Nov 2012 - Dec 2012
Contributions:11 commits in 12 days
icubam/icubam
Mar 2020 - Mar 2020
ICU Bed Activity Monitor
Contributions:18 commits in 3 days
bedmonitoractivity-monitoricu
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.