Bob Van De Velde is a Manager Data Science with 11 years of experience building and leading teams that turn large, messy information into actionable insights for media and public-sector organizations. He has led end-to-end ML and data engineering initiatives—from Spark/PySpark recommendation frameworks and GCP-based pipelines to LLM-driven RAG and information extraction systems—focused on improving search, personalization and decision-making. At NPO he combined DevOps, product ownership and metrics design to raise recommendation quality beyond simple engagement signals, and at Elsevier he now applies LLMs to help customers surface critical knowledge from vast sources. His background blends a PhD in Organizational Communication with hands-on full-stack and security-minded engineering (including a data-donation pilot using async Python and Vue), giving him both research rigor and production sensibilities. He’s active in European broadcasting AI governance, translating technical work into strategic, ethical practice across organizations. Colleagues describe him as a pragmatic architect who values measurable outcomes and thoughtful evaluation over flashy metrics.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Organizational Communication General, Doctor of Philosophy - PhD Organizational Communication General at Vrije Universiteit Amsterdam (VU Amsterdam)
Propedeuse (60 ECTS) International Business Management Studies, Propedeuse (60 ECTS) International Business Management Studies at Amsterdam University of Applied Sciences
Summerschool 2011 (A-) Global Media Industries, Summerschool 2011 (A-) Global Media Industries at London School of Economics & Peking University
MA Philosophy of a Specific Discipline (Social Sciences), MA Philosophy of a Specific Discipline (Social Sciences) at Leiden University
Master Research in Public Administration and Organizational Science, Master Research in Public Administration and Organizational Science at Utrecht University
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