Machine learning and AI approaches for peptide properties with PrositProteomicsDB and large-scale proteomics resources

Machine learning and AI approaches for peptide properties with Prosit
ProteomicsDB and large-scale proteomics resources

📅 Date: 11th May
⏰ Time: 12–14 & 14–16
📍 Location: Biomedicum 1, Sali 3

About Dr. Mathias Wilhelm:
Dr. Wilhelm is a bioinformatician specializing in proteomics and mass spectrometry. He leads the Bioinformatics group at the Chair of Proteomics and Bioanalytics at the TUM School of Life Sciences, where he focuses on developing computational tools that support experimental scientists in data analysis, integration, and interpretation.

His work includes:
✅ Development of ProteomicsDB for large-scale proteomics data integration
✅ Advancing machine learning and deep learning applications in proteomics
✅ Contributing to peptide property prediction tools such as Prosit
✅ Supporting studies on drug-target interactions and treatment responses

For more details on his research and publications, visit his Google Scholar profile:
https://scholar.google.com/citations?user=VNA2wwsAAAAJ&hl=en 

⚠️ Please bring your laptop, as the sessions will include hands-on practical exercises.

Join us for the final sessions of the course—and come early for a cup of coffee and pulla!