Summary
Florian Huber is a data scientist and board member with a decade of experience at the intersection of molecular biology, machine learning, and image-based phenotyping, currently driving phenotyping analytics at Bayer and fostering the image-profiling community through CytoData. He builds end-to-end solutions—from QSAR and mode-of-action prediction to deep learning for microscopy—and has validated computational predictions with experimental follow-up in chemical genetics and proteomics. A former EMBL/Stanford postdoc and Heidelberg PhD, he combines rigorous wet-lab insight with software engineering to translate complex biological assays into robust data pipelines. He also trains the next generation of researchers as a long-standing R and machine-learning instructor and certified Carpentries trainer. Less obvious: he has hands-on entrepreneurial experience leading a spin-off project to commercialize multiplexed antibody assays and has repeatedly bridged academic, industry, and community-driven initiatives.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BSc), Molecular Biology, Bachelor of Science (BSc), Molecular Biology at University of Vienna
Master of Science (MSc), Molecular Medicine, Master of Science (MSc), Molecular Medicine at Imperial College London
Doctor of Philosophy - PhD, Molecular Biology, Doctor of Philosophy - PhD, Molecular Biology at Heidelberg University
German, English, French, Spanish, Latin