VantAI
Thomas Duignan is an experienced software engineer specializing in AI-accelerated drug discovery and materials research. Currently serving as a Principal Software Engineer at VantAI since August 2022, Thomas focuses on a protein-first approach to PROTAC and glue design, previously holding titles including Staff Software Engineer and Senior Software Engineer at the same company. Prior experience includes a role as a Scientific Software Engineer at Mat3ra.com, and as a Machine Learning Engineer at Glean Analytics. Thomas also worked as a Data Science Engineer at Broadridge and contributed to research as a Graduate Student Research Assistant at the University at Buffalo, where Thomas earned a PhD in Theoretical Chemistry. Additional academic qualifications include a Bachelor of Applied Science in Physical Chemistry from SUNY Geneseo.
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VantAI
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VantAI pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules, targets, and diseases. These models power a best-in-class solution that identifies and generates new molecular entities for targets of interest, repurposes existing molecules at any stage of development, uncovers accurate ADME and toxicological insights, and predicts adverse events likely to influence trial success from deep analysis of systems-based pharmacogenomics. VantAI's in silico platform specializes in modelling complex protein-protein interactions, powering the discovery of biologics and protein degraders in addition to small-molecule drugs. It has helped leading biopharma partners launch new development programs--or revitalize old ones--at a fraction of the time and cost of traditional methods.