OATML

Lukas is a PhD student at the renowned ELLIS society, co-supervised by Sepp Hochreiter at Johannes Kepler University Linz and Yarin Gal at the University of Oxford.

His research focuses on safety, robustness, and trustworthiness in machine learning, with a particular emphasis on improving uncertainty quantification. On the theoretical side, his work has provided new insights into information-theoretic measures of predictive uncertainty. On the applied side, Lukas has developed QUAM, a method for improving uncertainty estimation in classification models, as well as SDLG and G-NLL, which enhance the reliability and efficiency of uncertainty estimation in language models. Recently, he has also investigated the robustness of multimodal OS agents, uncovering critical safety vulnerabilities by attacking them with malicious image patches.

Lukas holds an undergraduate degree from Vienna University of Economics and Business and a graduate degree in Artificial Intelligence from Johannes Kepler University Linz. Outside academia, he has gained extensive experience in consulting, industry and startups