VantAI
Thomas Castiglione is an AI Scientist II at VantAI since February 2024, bringing a strong background in computational biology. Previously, Thomas held roles as a Master Thesis Student at EPFL, focusing on enhancing a diffusion-based drug generative model and transforming it into a docking tool, and as a Teaching Assistant in Analysis, Mathematics, and Programming. As a Student Research Assistant, Thomas investigated enzymatic reaction fingerprints using BERT models. Prior experience includes a Data Science Internship at Metadvice, where Thomas developed neural networks for clinical decision support in precision medicine and modeled glucose-insulin interactions in type II diabetes patients. Thomas earned a Master of Science and a Bachelor of Science in Life Sciences Engineering from EPFL.
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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.