Ann-Kathrin is a Research Engineer at FAR.AI. She specializes in explainable AI, AI transparency, and mitigating the malicious use of AI models.

Ann-Kathrin has a PhD from Technische Universität Berlin, where she focused on a geometrical perspective on counterfactual explanations and attribution methods for deep neural networks. She also contributed to research on representation engineering and knowledge removal as a scholar at the ML Alignment and Theory Scholars (MATS) program under Dan Hendrycks, and explored information processing in LLMs as a PIBBSS affiliate.