Lukas Gosch


Chair of Data Analytics and Machine Learning at TUM

Informatik 26
Department of Computer Science
Boltzmannstr. 3
85748 Garching

Lukas is a PhD student at TUM focusing on adversarial robustness of graph learning algorithms. Recently, he got invited to hold a contributed talk at the Trustworthy and Socially Responsible Machine Learning Workshop @NeurIPS22.

Before doing his PhD, he studied physics and computational science in Vienna. Furthermore, he did multiple international research internships in Belfast, Bonn and IST Austria (among others, on theoretic ML). 2021 he has been awarded the price for the best master’s thesis by the Austrian Society for Operations Research. You can find out more about him on his website:

relAI Topics: Adversarial Robustness, Graph Neural Networks