Hi, I'm Wiebke Günther!

I am a Ph.D. student at Technische Universität Berlin.

I have a background in mathematics and quality assessment of neural networks. I am interested in developing causal inference methods for non-gaussian and non-stationary data distributions. Currently, I am particularly interested in discovering causal relationships from data that contains regime or context shifts. I studied mathematics at Humboldt University Berlin from 2013 and obtained my Master’s degree in 2019. In 2022, I joined the Causal Inference group at DLR as a PhD student.

Please feel free to get in touch! Preferably via mail at wiebke.guenther (at) tu-berlin.de