معرفی
Dr. Julian Matschinske is a Postdoctoral Researcher at the University of Hamburg's Faculty of Mathematics, Informatics and Natural Sciences, affiliated with the Computational Systems Biology department. His work focuses on machine learning, data privacy, and federated systems in biomedical applications. He completed his master's in computer science at Friedrich-Alexander University Erlangen-Nürnberg (2019) and his PhD at TUM and UHH as part of the EU Horizon2020 FeatureCloud project. Currently, he contributes to CosyBio's dehaze initiative for precision medicine.
Education:
- M.Sc. Computer Science, Friedrich-Alexander University Erlangen-Nürnberg (2019)
- PhD in Computer Science, Technical University of Munich (TUM) and University of Hamburg (UHH)
Research Interests: Julian specializes in federated learning frameworks, privacy-preserving AI, and their applications in healthcare. He develops tools like FedProt for protein analysis and Drugst for drug repurposing. His work emphasizes cross-disciplinary approaches to computational challenges in biomedicine.
Labs/Teams: Core member of the FeatureCloud project team and part of the Computational Systems Biology group at UHH. Collaborates with CosyBio on precision medicine solutions.
