Ludwig Lautenbacher

Ludwig Lautenbacher is a researcher at the Chair for Computational Mass Spectrometry at Technische Universität München (TUM). He contributes to projects democratizing machine learning (ML) applications in proteomics research.

• University: Technische Universität München
• Academic Rank: Researcher
• Email: ludwig.lautenbacher@tum.de

Research Interests: Ludwig focuses on integrating machine learning with proteomics, emphasizing accessibility, interoperability, and reproducibility of ML models. His work addresses computational challenges in predicting peptide properties, fragment intensities, and retention times, while developing open-source resources like Koina and ProteomicsDB.

Recent Publications (2021–2024) demonstrate expertise in:

• Temporal proteomics for drug mechanism analysis
• Deep learning for TMT-labeled peptide identification
• Fragment ion intensity prediction
• Open-source platform development
• Mass spectrometry data interpretation
• Collaborative software integration (Skyline, EncyclopeDIA, FragPipe)

Laboratory Affiliation: Works in the research group of Prof. Dr. Mathias Wilhelm at TUM, contributing to computational mass spectrometry advancements.