About Stephan Breimann
Computational biologist passionate about bridging biochemistry and AI to explain molecular recognition. I developed AAanalysis, an explainable AI framework for protein prediction; its Comparative Physicochemical Profiling (CPP) method enabled us to decode the substrate recognition of γ-secretase (Nature Communications). My interdisciplinary background in molecular biotechnology, bioinformatics, and philosophy shapes my interest in making AI a true partner in scientific reasoning and translational applications. I am always excited to connect with others who share this vision.
