Summary
Joël Kuiper is an Artificial Intelligence Engineer based in Groningen with 14 years of experience blending data science, software engineering and systems thinking in healthcare and bioinformatics. He has built and productionized ML pipelines, decision support systems and automated literature annotation tools using languages such as R, Java, Clojure and JavaScript across clinical and research settings. At organizations including UMCG, Doctor Evidence and Reify Health he led cross-timezone teams and applied NLP, Bayesian statistics and semantic web techniques to turn medical evidence into actionable tools. Joël’s work spans both research—resulting in multiple scientific publications—and hands-on engineering, designing novel user interfaces around ML workflows. He is comfortable moving models from prototype to clinical-grade systems and brings a practical, multidisciplinary approach to solving complex biomedical data problems.
14 years of coding experience
9 years of employment as a software developer
Bachelor's degree Artificial intelligence, Bachelor's degree Artificial intelligence at University of Groningen