About — in the speaker's own words
I'm Josef, an econometrician turned ML engineer. With a strong background in statistics and causal inference, I have developed my skills through rigorous work at institutions such as the University of Bonn and UC Berkeley, but also through the design and implementation of ML solutions at the Rewe Group. My passion lies in reducing model and ecosystem complexity, enhancing interpretability, and bridging the gap between academia and production settings in the context of machine learning. I believe that if we do not establish reliable machine learning systems, we risk failing to harness the immense potential they offer for humanity.