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Joakim Sundh is a researcher whose work centers around how people form judgments and make decisions, particularly in situations that involve risk and uncertainty. A significant portion of his research involves the development of statistical models that represent human cognition and accurately fit actual human behavior. He earned his doctorate in 2019 and has worked on a post-doctoral project examining sampling-based models and their approximation of Bayesian inference at the University of Warwick. During his time as a researcher, he has published numerous works that delve into topics of human perception and the probabilistic processes that constitute the basis of probabilistic thinking.
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