The Matthias Samwald research group works on ensuring the trustworthiness and safety of advanced artificial intelligence systems in high-stakes domains such as medical practice and biomedical research. Our group is part of the Institute of Artificial Intelligence at the Medical University of Vienna, Austria.
External project websites
examine|AI seeks to identify general principles of self-reflection in AI systems, enabling complex and value-aligned problem solving in high-impact domains such as automating scientific discovery or guiding medical decision making.
ThoughtSource focuses on chain-of-thought reasoning in large language models. We aim to enable trustworthy and robust reasoning in advanced AI systems for driving scientific research and medical practice.
The Medication Safety Code system is a simple, barrier-free and privacy-preserving solution that enables personalized medicine / pharmacogenomics at the point-of-care. We evaluated the system as part of Europe-wide clinical study (Ubiquitous Pharmacogenomics / U-PGx).
The OpenBioLink benchmark can be used for evaluating the abilities of AI algorithms for predicting novel links in large biomedical knowledge graphs.
The AI Strategies project is dedicated towards finding the most impactful and beneficial ways of utilizing AI.
The LinkExplorer software suite provides state-of-the-art AI algorithms for the prediction and explanation of novel links in large biomedical (and other) knowledge graphs.
People
Support
2023–2024: Berkeley Existential Risk Initiative (BERI) academic trial collaboration.
2021–2022: netidee project “Web of AI”. Budget: 44.922 €
2021–2022: netidee project “OpenBioLink”. Budget: 44.742 €
2016–2021: Horizon 2020 project “Ubiquitous Pharmacogenomics (U-PGx): Making actionable pharmacogenomic data and effective treatment optimization accessible to every European citizen”. Role: Co-initiator, work package leader and executive board member. Total EU contribution 14,9 million €, budget for Medical University of Vienna: 1.429.783 €
2013-2017: FWF stand-alone project “Information technologies for clinical pharmacogenetics”, P 25608-N15. Budget: 295.942 €
Alumni
Adam Böröndy, BSc (MSc student)
Robert Praas, BSc (visiting MSc student)
Johanna Jäger, BSc (MSc student)
Maximilan Mayrhauser, MSc (MSc student)
Simon Ott, MSc (research assistant)
Milad Moradi Vastegani, MSc (PhD student)
Dr. med. Kathrin Blagec (senior researcher)
Dr. Adriano Barbosa da Silva (senior researcher)
Jakob Kraiger
Laura Franziska Graf, BSc (masters student, computer science)
Anna Breit, BSc (MSc student, computer science)
Hong Xu, BSc, MSc (project assistant)
Hans Kerschbaumer (MSc student, medicine)
Wolfgang Kuch (MSc student, medicine)
Sebastian Hofer, MSc (PhD student)
Anna Riedl (project assistant)
Paul Schrödl, BSc (MSc student, computer science)
Jose Antonio Miñarro Giménez, PhD (postdoc)
Georg Petz (external masters student, computer science)