Pawelczyk, Martin

01.02.2026 Tenure-track professorship

Tenure-track professorship in Responsible Computing at the Faculty of Computer Science

My research

My research focuses on the safety and reliability of artificial intelligence within the broad fields of AI Safety and Data-Centric AI. My goal is to develop machine learning methods that bridge the gap between technological capabilities and ethical responsibility. Specifically, I work on methods and evaluation frameworks to make AI models - particularly Large Language Models (LLMs) - safer, more interpretable, and more privacy-preserving. In doing so, I address fundamental questions: How can we reconcile privacy and utility? What influence does data curation have on model safety? And how can complex AI decisions be made comprehensible for humans?

Research areas

Privacy Frameworks and Machine Unlearning (balancing privacy and utility)
Impact of data curation on the safety of AI models
Interpretability (Explainable AI) to assist human decision-making
Scalable evaluation methods for generative models and Large Language Models

Lebenslauf

2013-2016 BSc in Economics at the University of Cologne and the Université du Québec à Montréal (UQAM), Canada
2016-2017 MSc in Econometrics (Applied Statistics) at the University of Edinburgh, UK
2017-2018 MSc in Statistics at the London School of Economics and Political Science (LSE), UK
2018-2023 PhD in Computer Science at the University of Tübingen
2021-2023 Research Fellow at Harvard University, USA
2022-2023 Research Fellow at the Max Planck Institute for Security and Privacy (Bochum)
2023-2025 Postdoctoral Fellow at Harvard University, USA
since Feb 2026 Tenure-track professorship in Responsible Computing, University of Vienna

Contact

Ass.-Prof. Dr. Martin Pawelczyk

Währinger Straße 29
1090 Wien
Room: 4.37
Email
+43-1-4277-79516

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