Alexander Hogrebe is a data scientist specializing in mass spectrometry-based phospho-proteomics with eight years of experience translating complex MS workflows into robust quantitative analyses and visualizations. He has advanced phospho-proteomics methods in academic and industry settings—including postdoctoral research at University of Washington and Copenhagen and roles as principal researcher and consultant at ProteiQ—now applying that expertise at MSAID in Berlin. Alexander blends hands-on experimental understanding with data science, developing workflows that bridge MS technology development and downstream statistical interpretation. Beyond the bench and code, he brings a knack for making dense proteomics data accessible through clear visualizations, and he’s a board game enthusiast—suggesting a strategic, systems-oriented approach to problem solving.
9 years of coding experience
1 year of employment as a software developer
Master of Science (M.Sc.), Biochemistry, Master of Science (M.Sc.), Biochemistry at Technische Universität München
Scripts for Unifying the analysis of bottom-up proteomics data with CHIMERYS
Contributions:2 PRs, 48 pushes in 4 months
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