I am a researcher studying and designing deep neural networks. My work focuses on developing efficient machine learning algorithms
that run practically on existing hardware, guided by mathematical and physical principles.
Currently, I explore adaptive compute for transformers, inference-time reasoning, and world models.
Since fall 2024, I am pursuing a PhD under François Fleuret in
Geneva. Before that, I received an education in maths, physics, and computer science in prestigious institutions in France and the US.
Besides I am a ski instructor in val d'isère and a dj playing underground house, techno and breakbeats.
Finally, I believe in open knowledge, ai decentralization, and the fall of attention merchants.
I am open to collaborating, mentoring, and being mentored. Reach out.