Michael Hoopmann, PhD

Dr. Hoopmann’s research is focused on proteomics technology and methods development, having been trained in both instrumentation and software data analysis, with particular focus on high-resolution mass spectrometry. His current interests are in the development of advanced algorithms for discovery-based proteomics. He is the developer of the Kojak algorithm, a versatile, open-source software application for the discovery of protein-protein interactions through shotgun-based mass spectrometry. Dr. Hoopmann is also a contributor to the Trans-Proteomic Pipeline suite of software solutions for mass spectrometry data analysis.

BS, Biology, The College of New Jersey

PhD, Genome Sciences, University of Washington

Proteomics, Mass Spectrometry, Software Engineering, Algorithms