Thomas Lukasiewicz

Timeline

1. 1993–2001

   Education and early posts

   He earns a Dipl.-Inf. (M.Sc.) in computer science at Clausthal University of Technology in 1993 and a PhD at the University of Augsburg in 1996. He works as a research assistant at Augsburg's Institute of Computer Science from 1993 to 1996, becomes assistant professor at Gießen's Institute of Computer Science from 1997 to 1999, and holds a DFG Habilitation Fellowship at Vienna's Institute of Information Systems from 1999 to 2001.

2. 2001–2004

   Marie Curie in Rome

   He holds a Marie Curie Individual Fellowship from the European Union at the Department of Computer and System Sciences of the University of Rome "La Sapienza" from 2001 to 2004.

3. 2007–2009

   Databases, Web, and AI

   The 2007–2009 Databases, Web, and AI project combines database methods for very large data with AI techniques. As principal investigator, he leads the work under a DFG Heisenberg Fellowship.

4. 2010–2025

   Professor at Oxford

   He joins Oxford's Department of Computer Science as Professor and Yahoo! Research Fellow in 2010. He leaves Oxford in March 2025.

5. 2016

   Turing fellowship

   In 2016, he becomes a Turing Fellow at The Alan Turing Institute in London.

6. 2018–2020

   Interpretable deep learning

   He leads Oxford's 2018–2020 Interpretable and Explainable Deep Learning for Natural Language Understanding and Commonsense Reasoning project as principal investigator; it integrates deep learning with large-scale logic reasoning for interpretable language understanding and commonsense reasoning.

7. 2019–2020

   The AXA Chair and EurAI

   In 2019, he takes up Oxford's first AXA Chair in Explainable Artificial Intelligence for Healthcare, which focuses on neural-symbolic systems for diagnosis and treatment. In 2020, he becomes a EurAI Fellow.

8. Since April 2022

   Professor at TU Wien

   In 2023, he coauthors Mathematical Capabilities of ChatGPT, a study of ChatGPT's mathematical capabilities. His research focuses on explainable AI, deep learning with logical constraints for safe AI, predictive coding, and active inference. He is Professor and Head of the Artificial Intelligence Techniques research unit at TU Wien, a role he has held since April 2022.