Veit Schwämmle is an expert in the analysis of mass spectrometry data, bioinformatics and biostatistics with focus on data analysis and algorithm development for the characterization and interpretation of proteins and their post-translational modifications (PTMs). He uses methods adapted from statistics, bioinformatics, and general computer modeling approaches to improve information depth and quality in proteomics experiments.
His current research interest focuses on applying PTM research to problems in functional biology and biomedicine, with the aim to provide new algorithms for the analysis of top-down and middle-down mass spectrometry data.
His group is currently developing algorithms and smart visualization methods to characterize protein modifications and their crosstalk to provide deep insight into the regulatory programs of the cell.
