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Thomas Schlichthärle's research focuses on AI-guided Protein Design and engineering cellular decision-making. His lab aims to create synthetic proteins that modulate, sense, and reprogram signal transduction in a controlled, context-specific manner. Working at the intersection of machine learning, structural biology, synthetic biology, and biomedicine, his group develops and applies deep learning-based tools for structure prediction and generative protein design, complemented by experimental validation using cell-based systems. Schlichthärle studied Molecular Medicine (B.Sc.) at the University of Tübingen and Molecular Bioengineering (M.Sc.) at the Technical University of Dresden. He has completed a research stay at the Wyss Institute in Boston and started his PhD at the Max Planck Institute of Biochemistry in Munich. He joined the lab of David Baker at the University of Washington in Seattle as a postdoctoral researcher, focusing on synthetic growth factors. In 2025, he was appointed as a Tenure Track Assistant Professor in AI-guided Protein Design at the Technical University of Munich.
Technical University of Munich • Munich, Germany
Teaching and conducting research in AI-guided Protein Design.