About me
I am a Research Scientist at Google DeepMind, where I lead the Gemma post-training team focused on developing the most useful compact models for on-device applications. Since joining Google Brain, I have contributed to the evolution of Bard, Gemini, and Gemma, specializing in scaling reinforcement learning and distillation algorithms and architectures. During my PhD in a joint program between Google Brain and Inria Lille, my research centered on apprenticeship learning—a paradigm that integrates rewards and demonstrations to bridge the gap between human and artificial intelligence.
