Research Group Gjergji Kasneci
Gjergji Kasneci
Prof. Dr.
Principal Investigator
Gjergji Kasneci
is Professor of Responsible Data Science at TU Munich.
His research focuses on transparency, robustness, bias, and fairness in machine learning algorithms and involves ethical, legal, and societal considerations with the goal of using artificial intelligence responsibly for the benefit of individuals and society.
Team members @MCML
PostDocs
Bardh Prenkaj
Dr.
→ Group Gjergji Kasneci
Responsible Data Science
PhD Students
Jan Batzner
→ Group Gjergji Kasneci
Responsible Data Science
Mahdi Dhaini
→ Group Gjergji Kasneci
Responsible Data Science
Alina Fastowski
→ Group Gjergji Kasneci
Responsible Data Science
Sven Jacob
→ Group Gjergji Kasneci
Responsible Data Science
Rohit Jagtani
→ Group Gjergji Kasneci
Responsible Data Science
Yuxiao Li
→ Group Gjergji Kasneci
Responsible Data Science
Felix Steinbauer
→ Group Gjergji Kasneci
Responsible Data Science
Shuo Yang
→ Group Gjergji Kasneci
Responsible Data Science
Chenchen Yuan
→ Group Gjergji Kasneci
Responsible Data Science
Efstratios Zaradoukas
→ Group Gjergji Kasneci
Responsible Data Science
Zheyu Zhang
→ Group Gjergji Kasneci
Responsible Data Science
Publications @MCML
2026
Reinforcement Unlearning via Group Relative Policy Optimization.
ICLR 2026 - 14th International Conference on Learning Representations. Rio de Janeiro, Brazil, Apr 23-27, 2026. To be published. Preprint available. arXiv
Moral Lenses, Political Coordinates: Towards Ideological Positioning of Morally Conditioned LLMs.
Preprint (Jan. 2026). arXiv
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