I am a senior research scientist in the Google DeepMind team in Paris. Before that, I was very lucky to be a CIFRE PhD student between Google Brain and INRIA Lille.
I am interested in leveraging human feedback for sequential decision making. This led me to explore ideas related to apprenticeship learning, imitation learning, and RL from human feedback. I co-lead work on algorithms and infrastructure for RL(HF) in LLMs and I was involved in the conception several products like Google's Bard.
contact: leonard (dot) hussenot (at) gmail (dot) com
Huge thanks to my friend Robert Dadashi for the website.