Alizée Pace
Alizée Pace
Student / Programme Doctorate at D-INFK
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Research area
I am an ETH AI Center Doctoral Fellow. My research interests are centred on applications of machine learning and causal inference in medicine. In particular, I am working on imitation and offline reinforcement learning methods for treatment prediction and decision support, hoping to leverage the knowledge and expertise of our clinicians. I am part of the Biomedical Informatics group led by Prof. Gunnar Rätsch and the Empirical Inference group at the Max-Planck Institute for Intelligent Systems (Germany), led by Prof. Bernhard Schölkopf.
Alizée Pace is a Doctoral Fellow at the ETH AI Center. Alizée holds a BA MSci in Physics and Materials Science, as well as an MPhil in Machine Learning and Machine Intelligence from the University of Cambridge, where she consistently ranked at the top of her year. Her professional experience includes medical device development for stroke treatment, sensor-assisted surgery and 3D-printed heart stents, as well as software engineering at CERN. Prior to joining the Center, Alizée led a project on imitation learning for clinical decision support with Prof. Mihaela van der Schaar at the University of Cambridge.