Lecture Series "Data Science in Mass Spectrometry-Based Omics"

When: 05.06. - 06.06.2025

Where: Lecture Hall 2, Mezzanine, Währinger Straße 42; Lecture Hall 3, Mezzanine, Boltzmanngasse 1

Thursday, 05.06.2025

Lecture Hall 2 (Joseph Loschmidt Hörsaal)

Dr. Michael Sorochan Armstrong, University of Alberta, Canada

10:00 - 10:30 Research Presentation: Knowledge generation from heterogeneous Omics datasets (Abstract)
10:30 - 11:00 Teaching Lecture: Algorithmic concepts for metabolite identification (for MSc students)

Dr. Dominik Kopczynski, University of Vienna, Austria

11:15 - 11:45 Research Presentation: Moving MS-based Data Science from raw Spectra towards comprehensive Findings (Abstract)
11:45 - 12:15 Teaching Lecture: Algorithmic concepts for metabolite identification (for MSc students)

Lecture Hall 3

Ass. Prof. Dr. Julian Uszkoreit, University of Tübingen, Germany

09:45 - 10:15 Research Presentation: Reproducible multi-omics workflows to get the most out of the data (Abstract)
10:15 - 10:45 Teaching Lecture: How to accessibly store spectrometry data and what it tells us about isotopes and charges (for MSc students)

Dr. Nils Hoffmann, Bielefeld University, Germany

11:00 - 11:30 Research Presentation: From Ring Trials to Repositories: Data Science for FAIR MS-Omics (Abstract)
11:30 - 12:00 Teaching Lecture: An Introduction to Concepts and Algorithms for Metabolite Identification (for MSc students)