Lukas Gosch


Chair of Data Analytics and Machine Learning at TUM

Informatik 26
Department of Computer Science
Boltzmannstr. 3
85748 Garching

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

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

relAI Topics: Adversarial Robustness, Graph Neural Networks