Summary
Henrik Eckermann is a data scientist and Spotfire developer with nine years of experience bridging academic research and industry analytics, currently building monitoring dashboards and industrializing ML models at ASML while consulting on BI solutions at Quintus. He earned a PhD in biomedical science after leading longitudinal microbiome research at the Donders Institute, bringing deep expertise in statistical modeling (R/Stan/Python), mixed models, and causal AI thinking to practical data products. Henrik specializes in turning complex longitudinal and cross-sectional study designs into robust, reproducible analyses and production-ready tooling, with a knack for translating scientific rigor into MLOps and Spotfire-driven insights. Based in the Netherlands, he blends clinical and behavioral science training with hands-on software and dashboard engineering, making him comfortable from hypothesis-driven research to deploying models in Azure. An understated strength is his background as a statistical consultant within his lab, which honed his ability to communicate complex methods to non-technical stakeholders.
9 years of coding experience
Master of Science - MS, Behavioral Science, Master of Science - MS, Behavioral Science at Radboud University
Bachelor of Science (B.Sc.), Psychologie, Bachelor of Science (B.Sc.), Psychologie at Medical School Berlin
Diplom, Physical Therapy/Therapist, Diplom, Physical Therapy/Therapist at Hogeschool van Arnhem en Nijmegen
Dutch, English, German, Serbian