Niek Tax is a Staff Research Scientist at Meta with nine years of experience bridging academic rigor and production machine learning systems. He holds a PhD in Computer Science and built a strong research portfolio at Philips and universities, authoring 30 peer-reviewed papers (23 as first author) on sequence analysis, RNNs, Markov models and process mining. At Booking.com he shipped fraud-detection ML systems and taught internal courses on causal inference and process mining, showing an ability to translate theory into impactful engineering. At Meta’s Central Applied Science he focuses on foundational, long-term research and active collaboration with academia, supervising interns and publishing work that informs product teams. Colleagues describe him as a researcher-engineer who combines deep methodological expertise with practical deployment experience across large-scale data platforms.
9 years of coding experience
15 years of employment as a software developer
Master's Degree Computer Science, Master's Degree Computer Science at University of Twente
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Eindhoven University of Technology
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