Katrin Reichel is a Senior Data Scientist based in Frankfurt with 10 years of experience applying AI/ML and computational modeling to peptide and antibody design, bridging in silico predictions with experimental validation. She has led interdisciplinary teams and built automated predictive pipelines at Sanofi and ProteinQure, translating structural modeling and Bayesian inference into drug discovery outcomes. Her background spans PhD-level membrane protein modeling, reinforcement-learning-driven drug delivery simulations, and transcriptomics, giving her a rare blend of biophysics, machine learning, and wet-lab integration skills. Known for validating computational forecasts experimentally, she excels at turning sparse experimental data into actionable structural and therapeutic insights.
10 years of coding experience
3 years of employment as a software developer
Bioinformatics, Bioinformatics at Imperial College London
Diploma, Bioinformatics, Diploma, Bioinformatics at Johann Wolfgang Goethe-Universität Frankfurt am Main
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