Steven Vercruysse is a researcher and developer with 11 years of professional experience specializing in representing context-rich knowledge in a semantically precise, computable form through his VSM method and language. Based at NTNU and drawing on a PhD in Computational Biology and strong foundations in computer science and theoretical physics, he has applied VSM to biological curation and cancer research and piloted integrations with Gene Ontology at Berkeley Lab. He blends academic rigor with full-stack web development skills to make complex ideas tractable for computers, aiming to capture human-like contextual reasoning. Notably, his work is both theoretical and practical: biologists actively use VSM to encode mechanistic knowledge from literature, demonstrating cross-disciplinary impact beyond typical tooling.
11 years of coding experience
PhD, Computational Biology, PhD, Computational Biology at Ghent University
Full Stack Web Developer, Full Stack Web Developer at Post-PhD self-directed learning
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