Independent Research Groups established by the Cluster

Former Independent Research Groups

Franz Baumdicker

Mathematical and Computational Population Genetics
2021 - 2025
continued with Professorship for Big Data Analytics, Justus Liebig University Giessen, Germany

Christian Baumgartner

Machine Learning in Medical Image Analysis
2021 - 2024
continued as Assistant Professor for "Health Data Science" at the University of Lucerne, Switzerland

Konstantin Genin

Epistemology and Ethics of Machine Learning
2020 - 2025
continued as Assistant Professor at the University of Utah in Salt Lake City, USA

Bedartha Goswami

Machine Learning in Climate Science
2020 - 2024
continued as Assistant Professor for “Data Science” at the Indian Institute of Science and Education and Research (ISSER) Pune, India

Nicole Ludwig

Machine Learning in Sustainable Energy Systems
2020 - 2025
continued as Tenure Track Professor “Climate, Energy and Machine Learning Systems” at the Tübingen AI Center

Claire Vernade

Lifelong Reinforcement Learning
2023 - 2025
continued with Professorship at the Technical University of Nuremberg, Germany

Charley Wu

Human and Machine Cognition Lab
2020 - 2025
continued with a Professorship at the Technical University of Darmstadt, Germany

Former Early Career Research Groups

Katharina Eggensperger

Automated Machine Learning for Science
2023 - 2025
continued as Professor for Machine Learning and Artificial Intelligenz at TU Dortmund University and the Lamarr Institute

Miriam Klopotek

Machine Learning and Many-Body Physics
2021 - 2022
continued as Independent Junior Research Group Leader at the Cluster of Excellence “SimTech” of the University of Stuttgart

Independent Research Groups associated with the Cluster

Alina Wernick

Law, AI, and Society

Alina Wernick is a legal scholar investigating the intersection of law, technology, and society, with a strong foundation in intellectual property law. The Law, AI, and Society Group explores the dynamic relationship between artificial intelligence and legal frameworks, focusing on their broader social and societal impacts.

Kristof Meding

Computational Law Lab

Kristof Meding’s research combines data-driven machine learning methods with legal research to better understand the interaction between computer science and law. The Computational Law Lab's research focuses on the interaction between Artificial Intelligence and Law. They aim to explore how machine learning methods can be applied in legal sciences.