Summary
Jelmer De Vries is a developer with a PhD in Experimental Psychology and eight years of professional experience bridging academic research and app development. He combines deep expertise in human visual cognition and eye-movement analysis with practical software craftsmanship, having built NomiNote end-to-end and become fluent with native iOS libraries like CocoaTouch and CoreData. His master's work on deep-learning-based object recognition seeded a long-standing interest in leveraging biological vision insights to improve machine learning models. Accustomed to designing novel experiments, performing rigorous statistical analysis, and publishing peer-reviewed work, he excels at turning complex data-driven questions into implemented solutions. Now transitioning from academia back into machine learning, he offers a unique blend of cognitive-science intuition and hands-on engineering that helps translate perceptual principles into better algorithms and products.
8 years of coding experience
4 years of employment as a software developer
Exchange, Exchange at Pender High School
PhD, Experimental Psychology, PhD, Experimental Psychology at Utrecht University
Exchange, Psychology, Exchange, Psychology at University of Florida
English, Dutch