Ruben Van Bergen is a senior data scientist and computational neuroscientist with five years of experience translating complex brain data into actionable models and novel AI methods. He has led development of Bayesian brain-decoding tools and brain-inspired deep neural networks that enable object-structured perception and agent interaction. His career bridges top-tier academic labs (Radboud, Donders, Columbia) and applied research at OnePlanet Research Center, combining rigorous experimental neuroimaging with practical ML implementation. Ruben’s work uniquely blends advanced statistics, probabilistic modeling and deep learning to study perception in both biological and artificial agents. Based in Utrecht, he is open to new data science opportunities where neuroscience-grade inference and interpretable AI can inform real-world systems. A less obvious strength is his track record of moving techniques from fMRI research code into reusable machine-learning tools for broader applications.
5 years of coding experience
5 years of employment as a software developer
PhD, Computational Neuroscience, PhD, Computational Neuroscience at Radboud University
MSc, Neuroscience, MSc, Neuroscience at University of Oxford
BSc (Magna Cum Laude), Neuroscience, Molecular Cell Biology, Psychology, BSc (Magna Cum Laude), Neuroscience, Molecular Cell Biology, Psychology at Universiteit Utrecht / University of Utrecht
Contributions:43 pushes, 2 branches in 1 year 9 months
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