Chemical Computing Group
William Long is a Principal Scientist at Chemical Computing Group, specializing in custom coding, applications prototyping in MOE, cheminformatics, protein bioinformatics, and pipeline development since May 2016. Prior experience includes a role as Senior Applications Scientist at the BC Cancer Agency Genome Sciences Center, focusing on bioinformatics pipeline development and next-generation sequencing data analysis from 2013 to 2016. William's earlier career at Chemical Computing Group included contributions as an Applications Scientist from 2004 to 2012, and a project manager at Institut national d'optique, emphasizing biophotonics and molecular imaging research from 2001 to 2004. Initial research experience included a position as a scientific programmer at Atomic Energy Canada Ltd. William holds a PhD in Bioanalytical Chemistry from McGill University and a BSc (Honours) in Chemistry from the University of Victoria.
Chemical Computing Group
CCG (Chemical Computing Group) is a leading supplier of software solutions for life sciences. With a proven track record in scientific innovation, CCG continues to provide state of the art applications in drug discovery to pharmaceutical, biotechnology and academic researchers. CCG headquarters are in Montreal (Canada), with support offices in North America, Europe and Asia. CCG’s software programs include: 1) Molecular Operating Environment (MOE) - a single package for visualization, molecular modeling, computer-aided molecular design (CAMD), cheminformatics, bioinformatics and methodology development. 2) PSILO® - Protein SILO - a database system that provides an easily accessible, consolidated repository for macromolecular and protein-ligand structural information as well as a means to systematically track, register and search both experimental and computational macromolecular structural data. CCG has a strong academic presence with MOE and PSILO® being used extensively in teaching and research in over 600 universities world wide. CCG's special programs and discounts encourage the adoption of computational life science methodologies by the scientific community.