Ming is keenly interested in how computational approaches in analyzing mass spectrometry data can gain insight into the chemical world around us. Ming’s work has created computational tools that enable global visualization of unknown chemistry that makes it possible to rapidly discover new compounds. These approaches have further been scaled to enable repository scale analysis across all public metabolomics and natural products data. Ming has led the development of computational tools and infrastructure that resulted in the GNPS ecosystem – a web analysis and knowledge curation infrastructure that became the de facto standard tool for the natural products, metabolomics, and chemical ecology research communities. His computational tools are used by over 5K chemists and biologists from around the world each month.