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
Zheyu Zhang
→ Group Gjergji Kasneci
Responsible Data Science
Publications @MCML
2025
Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models.
International Journal of Machine Learning and Cybernetics. Jun. 2025. DOI
2023
Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models.
BabyLM Challenge @CoNLL 2023) - BabyLM Challenge at the 27th Conference on Computational Natural Language Learning. Singapore, Dec 06-10, 2023. DOI GitHub
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.
xAI 2023 - 1st World Conference on eXplainable Artificial Intelligence. Lisbon, Portugal, Jul 26-28, 2023. Best Paper Award. DOI
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