Felix Strieth-Kalthoff

Professor Felix Strieth-Kalthoff is a faculty member at the University of Wuppertal, specifically within the School of Mathematics and Natural Sciences and the Digital Chemistry institute. He leads the AG Strieth-Kalthoff research group, focusing on the application of machine learning to synthetic chemistry decision-making processes.

His research program centers on developing practical machine learning tools to augment synthetic organic chemists' expertise, with key emphases on predicting catalytic reaction outcomes, optimizing reaction conditions through Bayesian algorithms, and exploring reaction mechanisms via data-driven strategies. The group's software, built primarily in Python using PyTorch and BoTorch libraries, targets real-world laboratory utility while preserving chemist autonomy in experimental design.

The AG Strieth-Kalthoff research group operates from office V.10.090 at the University of Wuppertal (Gaußstraße 20, 42119 Wuppertal), maintaining an active agenda in digital chemistry tool development. Their work bridges computational science and synthetic laboratory practice, with ongoing contributions to the CM@S research community as evidenced by colloquium participation. Further details are available at their official website: https://fsk-lab.github.io/.