Sven Wientjes is a PhD cognitive scientist and computational modeler with 8 years of experience building and fitting hierarchical Bayesian models to explain human learning and decision-making. He combines expertise in reinforcement learning, episodic memory, and connectionist/deep learning approaches to translate cognitive theories into quantitative models and online behavioral experiments (often implemented in JavaScript/HTML/CSS). His work spans fMRI and EEG-informed modeling, hidden Markov and variational Bayesian methods, and practical large-scale data collection for rigorous model comparison. Based in Ghent, Sven is open to applying his modeling toolkit to real-world behavioral or consumer data, offering principled analysis, visualization, and hypothesis-driven inference. An uncommon asset is his dual background bridging computational neuroscience and applied statistics—he not only builds models but also teaches and communicates statistical methods to non-specialists.
8 years of coding experience
Doctor of Philosophy - PhD, Cognitive Science, Doctor of Philosophy - PhD, Cognitive Science at Universiteit Gent
Bachelor, Psychology (ENG), Bachelor, Psychology (ENG) at Rijksuniversiteit Groningen
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Sven Wientjes - Phd-student (aio) at Universiteit Gent