Bin Ma

Bin Ma is Professor of Computer Science at the University of Waterloo's Cheriton School of Computer Science, specializing in bioinformatics and computational proteomics. He develops novel mass spectrometry methods and algorithms for protein sequencing and antibody discovery.

Education:

• Ph.D. Computer Science, Peking University
• B.Sc. Computer Science, Peking University

Professor Ma's research creates computational tools for de novo protein sequencing using mass spectrometry data. His innovations enable high-accuracy determination of protein amino acid sequences without reference databases. Current applications include identifying neutralizing antibodies for COVID-19 and detecting cancer biomarkers.

Recent publications (2021-2024) focus on clinical proteomics advancements: M-protein monitoring for multiple myeloma (2021), antibody discovery from serum (2024), and neoantigen identification (2024). His 15 most cited works demonstrate consistent innovation in mass spectrometry data analysis and diagnostic applications.

Professor Ma leads research funded by national agencies and industry partners. He collaborates with clinical researchers to translate computational methods into medical diagnostics. Professional service includes editorial work for bioinformatics journals and conference program committees.