Celestine Mendler-Dünner
Scholar

Celestine Mendler-Dünner

Google Scholar ID: UqtDdZUAAAAJ
ELLIS Institute & Max Planck Institute for Intelligent Systems, Tübingen
machine learningoptimizationsocial dynamics
Citations & Impact
All-time
Citations
1,571
 
H-index
17
 
i10-index
24
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • For her dissertation, she was awarded the ETH Medal. For the high industrial impact of her research on system-aware algorithm design, she received the IBM Research Division Award, the IBM Eminence and Excellence Award, and the Fritz Kutter Prize. Her postdoc was supported by the SNSF Early Postdoc Mobility Fellowship by the Swiss National Science Foundation.
Research Experience
  • Before joining the ELLIS Institute, she was a researcher at the Max Planck Institute for Intelligent Systems and spent two years as an SNSF postdoctoral fellow at UC Berkeley, hosted by Moritz Hardt.
Education
  • She obtained her PhD from ETH Zurich, advised by Thomas Hofmann, and was employed at IBM Research Zurich where she co-led the design of the IBM Snap ML library.
Background
  • She is a Principal Investigator at the ELLIS Institute, co-affiliated with the Max Planck Institute for Intelligent Systems and the Tübingen AI Center. She leads the Algorithms and Society group, focusing on machine learning in social context and the role of prediction in digital economies. Her goal is to develop theoretical and practical tools to support a safe, reliable, and equitable AI ecosystem.
Miscellany
  • She is an ELLIS Scholar, a core faculty member of the Tübingen AI Center and the International Max Planck Research School for Intelligent Systems (IMPRS-IS), and an associated faculty member at the Max Planck ETH Center for Learning Systems (CLS). She is also a member of the Tübingen Cluster of Excellence on ML for Science and a fellow of the Elisabeth-Schiemann Kolleg of the Max Planck Society.