Lukas Galke Poech | Tracing connectionist mechanisms for safer AI systems.

Lukas Galke Poech

Assistant Professor
University of Southern Denmark (SDU)
Department of Mathematics and Computer Science (IMADA)
Data Science Section
Center for Machine Learning

In my view, understanding why the most powerful AI systems behave the way they do is the most important scientific problem in AI safety. I advance interpretability methods to make AI systems more transparent in order to inform alignment and enable principled control.

News

  • November 2025: The MIST project on mechanistic interpretability for safe LLM agents has been funded by the Novo Nordisk Foundation. I am now hiring at PhD and Postdoc level—get in touch if you're interested.
  • November 2025: FlexDeMo has been accepted to AAAI 2026.
  • October 2025: Culture Neurons have been accepted to AACL-IJCNLP 2025 Findings.

Contact: lukas 'at' lpag.de
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