Lukas Fluri

Lukas Fluri is a PhD student in Computer Science at ETH Zurich, supervised by Prof. Florian Tramèr in the SPY Lab, where he researches when and how AI systems fail and how to prevent this. He holds a BSc in Computer Science and an MSc in Data Science, both from ETH Zurich, and was awarded an ETH Medal for his Master's thesis "Evaluating Superhuman Models with Consistency Checks," which proposed a framework for surfacing mistakes in superhuman AI models using logical consistency checks. His research spans AI safety, interpretability, model evaluation, red-teaming, reinforcement learning, and the science of deep learning, covering both theoretical and empirical approaches. Prior to his PhD, he completed research internships at the University of Cambridge and UC Berkeley, during which he received Long-Term Future Fund support for an unpaid internship focused on using theory and interpretability to increase the safety of AI systems. He is also involved with Zurich AI Safety (ZAIS), a community organization focused on AI safety capacity building in Switzerland.

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