Edgard Marx is a Data & AI leader with over a decade of experience designing data platforms and governance for R&D-intensive organizations, currently driving data transformation at Byondis to accelerate biotechnology innovation. He combines strategic leadership with hands-on expertise in metadata management, semantic and graph data models, FAIR principles, and large-scale data architecture to improve decision-making and research outcomes. Previously he led R&D at Chemnet and served as Principal Data Scientist and Senior Data Engineer at eccenca, where he applied semantic stacks and LLM-based augmented retrieval to unlock scientific information. Edgard mentors cross-functional teams, advises executives on data policy, and aligns investments to strategic priorities while managing budgets and partnerships. His background spans academic research (PhD-level computer science) and production software engineering, giving him rare fluency between rigorous research and pragmatic delivery. Based in Nijmegen, he is known for translating complex data standards into practical systems that empower scientists and external collaborators.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Leipzig University
📦 The Knowledge Box - A data dependency management framework to help users to publish, find and install data models
Contributions:7 releases, 336 commits, 12 PRs in 6 years 6 months
publishkboxdataboxknowledge
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