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 and treatment recommendation systems, with an interest for offline reinforcement learning, representation learning and causal inference.

In 2023, I was a student researcher at Google, developing new methods in Reinforcement Learning from Human Feedback (RLHF) with Aliaksei Severyn and the wider Bard team.

Before my PhD, I led a project on imitation learning for clinical decision-making 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.

I am actively looking for excellent Masters' students to supervise for their thesis (preferably at ETH). Reach out if our interests overlap!