Summary
Pol Van Rijn is a data scientist at Deutsche Bundesbank with nine years of experience bridging rigorous research and production-ready tooling to advance firm-level economic analysis. He specializes in record linkage, software development for automated workflows, and extracting structure from unstructured text—exploring how LLMs can enhance central banking research. His background spans a summa cum laude doctorate in computer science at the Max Planck Society, postdoctoral work in computational auditory perception, and applied research in speech, music and linguistics. Comfortable moving between code, statistics and domain-savvy data curation, he builds reproducible pipelines that make sensitive microdata usable for policy-relevant insights. Colleagues describe him as methodical yet experimental—combining academic rigor with pragmatic engineering to push analytical boundaries in a regulated data environment.
9 years of coding experience
4 years of employment as a software developer
Master of Education (M.Ed.), German and Dutch language and literature studies and computer science, Sehr gut (Excellent, 1.2), Master of Education (M.Ed.), German and Dutch language and literature studies and computer science, Sehr gut (Excellent, 1.2) at Carl von Ossietzky Universität Oldenburg
Doctor's Degree, Computer Science, Summa cum laude, Doctor's Degree, Computer Science, Summa cum laude at Max Planck Society
VWO-diploma (Abitur examination), VWO-diploma (Abitur examination) at H.N. Werkman College
Dutch, German, English