Veit Schwämmle is Associate Professor for Computational Proteomics and Bioinformatics at the Department of Biochemistry and Molecular Biology since 2018. He received his PhD degree in Physics at the University of Stuttgart in 2006, followed by post-doctoral fellowships at the Centro de Pesquisas Fisicas in Rio de Janeiro, and ETH Zürich, and an employment as post-doctoral researcher and assistant professor at the University of Southern Denmark.
Before changing to the field of Bioinformatics in 2008, he created and applied computer models to simulate sand dunes, biological evolution and linguistic phenomena, and worked on a generalization of statistical mechanics using generalized entropies and Fokker-Planck equations.
The Computational Proteomics Group develops and applies computational solutions for improved data analysis in large-scale omics experiments with focus on proteins and their post-translational modifications (PTMs). The aim is to better understand the functional protein states in order to determine, confirm and predict their contribution to cell behavior and disease.
Our main research interests are
- Software and workflow development to analyze data from protein mass spectrometry experiments
- Chromatin biology: regulatory control by histone modification
- Tools for quantification and interpretation of omics data
- Improved data processing by deep learning (AI) methods
Details about current and former research projects, access to software and associations to international initiatives can be found on the group’s web page (http://computproteomics.bmb.sdu.dk).
Head of research: Associate professor, PhD Veit Schwämmle
Researchers and research group: Veit Schwämmle Lab
Group Webpage: Computational Proteomics
A complete list of publications by Veit Schwämmle can be found here.
Part of the Research section of Biomedical Mass Spectrometry at the Department of Biochemistry and Molecular Biology