Scholar
Claire Vernade
Google Scholar ID: tE2hCaYAAAAJ
University of Tuebingen
Citations & Impact
Citations
976
H-index
16
i10-index
17
Publications
20
Co-authors
28
list available
Publications
Resume (English only)
Academic Achievements
- Awarded an Emmy Noether award under the AI Initiative call in 2022;
- Received an ERC Starting Grant in 2024;
- Delivered talks at various international conferences such as PAISS summer school, ALT 2025, etc.;
- Organized multiple workshops and conferences, including FoRLaC @ ICML 2024.
Research Experience
- Research Scientist at DeepMind in London, UK, from November 2018 to December 2022, in the Foundations team led by Prof. Csaba Szepesvari;
- Group Leader at the University of Tübingen from 2022 to October 2025;
- Full Professor for Foundations of Machine Learning at the University of Technology Nuremberg since October 2025.
Education
- PhD: October 2017, Telecom ParisTech, supervised by Prof. Olivier Cappé;
- Postdoc: 2018, University of Magdeburg, Germany, with Prof. Alexandra Carpentier.
Background
- Research interests: sequential decision making, theoretical reinforcement learning, learning theory, and principled learning algorithms for machine learning. Goal is to contribute to the understanding and development of interactive and adaptive learning systems.
Miscellany
- Engaged in promoting diversity and inclusivity in the ML community, co-leading the Women in Learning Theory initiative and the Tübingen Women in Machine Learning group;
- Supports organizing efforts and activism in ML and the Tech industry, was a union rep at Unite the union in London, UK while working as a Research Scientist at Deepmind.
