Alizée Pace, MSc MPhil
- alizee.pace@ ai.ethz.ch
ETH AI Center
Department of Computer Science
- CAB E 77.1
My research interests are centred on applications of machine learning and causal inference in medicine. I develop imitation and reinforcement learning methods for treatment prediction and clinical decision support.
I am a Doctoral Fellow at the ETH AI Center, jointly supervised by Prof. Gunnar Rätsch of the BMI group and Prof. Bernhard Schölkopf, leader the Empirical Inference group at the Max-Planck Institute for Intelligent Systems (Tübingen, Germany). Prior to 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.
Please see my personal website for further information.