Aurélien Nioche is a machine learning engineer based in Helsinki with a decade of experience bridging cognitive science research and production ML systems. With a PhD in cognitive science and postdoctoral stints at Aalto and Glasgow, he combines deep HCI expertise and experimental design rigor with hands-on software engineering to deliver scalable, user-centered ML solutions. He has progressed from academia to senior engineering roles at Doublepoint and now builds operational models at ICEYE, frequently collaborating across product and engineering teams. Aurélien’s background in psychology and musicology gives him a rare sensitivity to human factors in AI, informing interfaces and data-driven features that prioritize usability as much as performance.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Musicology, Bachelor's degree, Musicology at Université de Tours
Bachelor's degree, PSYCHOLOGY, Bachelor's degree, PSYCHOLOGY at Université Paris Cité
Master's degree, Sciences cognitives, Master's degree, Sciences cognitives at Cogmaster (ENS-PSL, EHESS, Université Paris Cité)
Doctor of Philosophy - PhD, Cognitive Science, Doctor of Philosophy - PhD, Cognitive Science at Sorbonne University
Contributions:1 PR, 113 pushes, 3 branches in 1 year 3 months
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