Celestine Mendler-Dünner
Group Lead,Associate Professor
Research group · ETH Zurich
Dynamics in AI
How can we understand, measure and govern AI systems that interact with society and evolve through feedback, incentives, and markets?
Our research
We are part of the Institute for Machine Learning at the Department of Computer Science of ETH Zurich.
We develop scientific foundations for AI in the social world, focusing on the coupling between models and data and its consequences for learning, evaluation and social impact. Building on performative prediction, and connecting modern AI paradigms with concepts of causal inference, game theory, and the social sciences, we study how AI systems co-evolve with society, learn from individual feedback and impact communities. Our goal is to empower society and shed light on aspects that are easy to overlook, using a statistical lens alone.
For relevant publications see Google Scholar.
People
Celestine Mendler-Dünner
Group Lead,Associate Professor
Patrizia Napoli
Administrative Assistant
Stefanie Ackermann
Administrative Assistant
Patrik Wolf
PhD Student,CLS Fellow
Giovanni De Toni
Postdoctoral Researcher,ETH AI Center Fellow
Advising
If you are interested in pursuing a PhD in our group, please apply through the ETH AI Center, the Max Planck ETH Center for Learning Systems (CLS), or the ELLIS PhD program, and indicate your interest in joining our group. For postdoctoral opportunities, please contact us by email with your CV, academic transcript, and a short motivation letter. Current PhD students interested in a research internship are welcome to apply by email.
Contact
Celestine Mendler-Dünner, Prof. Dr.
Email:
ETH ZurichDepartment of Computer Science
Institute for Machine Learning
OAT Y 13.2
Andreasstrasse 5
8092 Zürich, Switzerland
