Summary
Alizée Pace is a Senior Research Scientist at Google DeepMind with nine years of experience bridging cutting-edge ML research and real-world clinical applications. She specializes in language model post-training and RLHF within the Gemini team, building on a PhD from ETH Zürich focused on reinforcement learning, representation learning, and causal approaches to decision-making from observational data. Her work spans from improving LLM quality to interpretable imitation learning for clinical decision support, with publications stemming from collaborations at Cambridge and the Max Planck Institute. Notably, she has hands-on product-adjacent experience in medical device R&D and is an inventor on multiple patents, reflecting a rare mix of rigorous theory and practical engineering. Based in the Zürich area, she combines deep academic training with impactful industry research at the intersection of AI safety, reward modelling, and healthcare.
9 years of coding experience
2 years of employment as a software developer
Master of Philosophy - MPhil, Machine Learning and Machine Intelligence, Master of Philosophy - MPhil, Machine Learning and Machine Intelligence at University of Cambridge
French Baccalaureate (British International Option), 19.83/20, French Baccalaureate (British International Option), 19.83/20 at Lycée international de Ferney-Voltaire
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at ETH Zürich
Bachelor's degree - First year, Physics, 5.80/6, Bachelor's degree - First year, Physics, 5.80/6 at EPFL (École polytechnique fédérale de Lausanne)
French, Italian, English, German, Spanish