Team | AI Safety & Interpretability Lab
AI Safety & Interpretability Lab

Team

The AI Safety & Interpretability Lab is currently being established. This page will be updated as soon as new members join.

Lukas Galke Poech

Assistant Professor, Head of the Group

Lukas Galke Poech is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark. His research focuses on advancing AI safety through interpretability. He is the principal investigator of the MIST Project on Scalable Mechanistic Interpretability for Safe and Trustworthy Language Model Agents, supported by the Novo Nordisk Foundation. Lukas received his PhD in representation learning from Kiel University, Germany. He then joined the Max Planck Institute for Psycholinguistics as a postdoc, where he drew inspiration from research on how language works in the human brain to understand learning, behavior, and cognition in language models. Learn more about me on my personal academic website

Email | GitHub | Google Scholar | LinkedIn

Anton Danholt Lautrup

Postdoc (since February 2026)

Annemette Brok Pirchert

PhD Student (since February, 2026)

Filippo Tonini

PhD Student (since March 2026)

Federico Torrielli

Guest PhD Student (Apr-Jun 2026)

William Brach

Guest PhD Student in 2025, now latent collaborator

Contact us via galke@imada.sdu.dk