Wout Bittremieux

Dr. Wout Bittremieux is a postdoctoral researcher at the University of California San Diego. His research employs advanced computational techniques to solve fundamental biological questions, by developing algorithmic solutions and machine learning methods for the analysis of mass spectrometry-based proteomics and metabolomics data. He has developed several innovative tools to analyze large mass spectral data volumes, such as the ANN-SoLo tool for extremely fast open modification searching, the falcon tool for efficient spectrum clustering, and the GLEAMS deep neural network to efficiently process hundreds of millions of mass spectra. His work is ideally positioned at the intersection of bioinformatics, machine learning, and mass spectrometry.

In 2020, Dr. Bittremieux received the prestigious Postdoctoral Development Award from the American Society for Mass Spectrometry, and in 2021 he was named a “Rising Star in Proteomics and Metabolomics” by the Journal of Proteome Research for demonstrating ‘incredible originality and promise for the future of proteomics and metabolomics.’ Dr. Bittremieux is an avid contributor to the computational mass spectrometry community. He has published widely in internationally recognized scientific journals, is an active member of the European Bioinformatics Community for Mass Spectrometry (EuBIC-MS), and leads the CompMS interest group of the International Society for Computational Biology (ISCB). Furthermore, he has contributed to the development of mass spectrometry data standards defined by the Proteomics Standards Initiative (PSI) and is an active developer of the Global Natural Products Social Molecular Networking (GNPS) platform, through which his tools reach tens of thousands of monthly users worldwide.