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. My main research goal is to develop ML solutions for clinical decision support and personalised treatment recommendation, with an interest for offline reinforcement learning, representation learning and causal inference.
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 for stroke treatment, sensor-assisted surgery and 3D-printed heart stents, as well as software engineering at CERN. In parallel, I studied Physics, Materials Science and Machine Learning at Cambridge, where I consistently ranked first in my year.
PhD in Machine Learning, started 2021
ETH Zürich
MPhil in Machine Learning and Machine Intelligence, 2021
University of Cambridge
BA MSci in Materials Science, 2020
University of Cambridge
[Sept 1, 2022] I was featured in the latest NZZ Folio (major Swiss newspaper): These young people are building our future.
[Jan 28, 2022] My first first-author paper has been accepted to ICLR 2022 as spotlight (5% acceptance rate)!
[Sept 29, 2021] I have been awarded a Distinction for my Machine Learning MPhil at Cambridge (top 2-3 students in cohort).
[Sept 15, 2021] I have started my PhD at the ETH AI Center in Zürich.
See my Google Scholar profile for a full list of publications.