Prof. Claire Vernade

Department Computer Science & Artificial Intelligence
Foundations of Machine Learning

About

Claire is Full Professor for Foundations of Machine Learning at the University of Technology Nuremberg since October 2025. Before that, she was a Group Leader at the University of Tübingen. She was awarded an Emmy Noether award under the AI Initiative call in 2022, and an ERC Starting Grant in 2024.
Her research is on sequential decision making. It mostly theoretical Reinforcement Learning, and extends to Learning Theory and principled learning algorithms for Machine Learning.
Her goal is to contribute to the understanding and development of interactive and adaptive learning systems.
Between November 2018 and December 2022, she was a Research Scientist at DeepMind in London UK in the Foundations team lead by Prof. Csaba Szepesvari. She did a post-doc in 2018 with Prof. Alexandra Carpentier at the University of Magdeburg in Germany while working part-time as an Applied Scientist at Amazon in Berlin. She received her PhD from Telecom ParisTech in October 2017, under the guidance of Prof. Olivier Cappé.

Curriculum Vitae

Jan 2023 – Oct 2025 Group Leader, Uni Tübingen
Nov 2018 – Dec 2022 Research Scientist at Deepmind London
Jan 2018 – Oct 2018 Applied Scientist at Amazon Berlin
Oct 2014 – Nov 2017 PhD at Telecom ParisTech, Paris

 

Further Information

  • Outstanding Paper Award at ICLR 2021, ERC Starting Grant, Emmy Noether grant