Hannes Rost PhD, BSc, MSc

Hannes Röst obtained a BSc in Biochemistry and a MSc in Bioinformatics from ETHZurich, and during his Ph.D. in the lab of Prof. Ruedi Aebersold at ETH Zurich, he developed novel computational methods to analyze mass spectrometry-based proteomics data. This work has allowed researchers to increase throughput of targeted proteomics experiments by up to 100-fold and increase the number of samples that could be analyzed in a single study. After his Ph.D., he joined the lab of Prof. Mike Snyder at Stanford University to apply his work in the area of personalized medicine. In Stanford, Hannes focused on developing computational tools for handling, managing and analyzing large, heterogeneous and longitudinal datasets. His research at the University of Toronto explores the capability of novel mass spectrometric methods to obtain highly quantitative proteomics and metabolomics data matrices and use these quantitative data to address questions in systems biology and personalized medicine.