Hi! I’m Alizée, a PhD student in Machine Learning and a fellow at the ETH AI Center in Zürich. I am lucky to work with Prof. Gunnar Rätsch and Prof. Bernhard Schölkopf. I am also part of the ELLIS PhD program. My main research goal is to develop ML solutions for decision support systems, with an interest for offline reinforcement learning, preference-based RL and real-world clinical applications.

I have been a research intern (2024) and student researcher (2023) at Google, where I developed new methods in Reinforcement Learning from Human Feedback (RLHF) to improve LLM model quality and alignment within the Gemini team.

Before my PhD, I worked on interpretable imitation learning with Prof. Mihaela van der Schaar at the University of Cambridge. My professional experience also includes medical device development and software engineering at CERN. I studied Physics, Materials Science and Machine Learning at Cambridge, where I consistently ranked first in my year.