Dr. Roland Bruderer | Computational Proteomics | Outstanding Scientist Award
BIOGNOSYS AG | Switzerland
Roland Bruderer is a leading proteomics researcher specializing in mass spectrometry–based analytical technologies and advanced LC-MS workflows for large-scale protein analysis. His research focuses on the development of robust, high-throughput proteomics platforms that enable deep and reproducible profiling of complex biological samples. He has made seminal contributions to data-independent acquisition strategies, particularly SWATH mass spectrometry, significantly expanding the depth and consistency of whole-proteome measurements. His work has demonstrated the feasibility of identifying and quantifying more than ten thousand proteins in single analytical runs, setting new standards for proteome coverage. In addition, he has contributed to quality control and bioinformatics solutions for immunopeptidomics and large-scale proteomics datasets. His research addresses protein interactions, post-translational modifications, and metabolite–protein interactions using innovative mass spectrometry approaches. By integrating analytical chemistry with molecular and cell biology, his work supports applications in systems biology, translational research, and precision medicine. He is recognized for translating complex methodological innovations into scalable, industry-ready proteomics workflows.
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Featured Publications
Enhancing Sensitivity in Low-Load Proteomics Orbitrap Workflows via SLIM Integration
– Analytical Chemistry, 2025
Optimizing Spectronaut Search Parameters to Improve Data Quality in DIA Analyses
– Journal of Proteome Research, 2024
Biomarker Candidates for Tumors Identified from Deep-Profiled Plasma
– Journal of Proteome Research, 2022