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Yeon Soon Shin’s research centers on understanding how our brains make sense of complex experiences by inferring the underlying structure when we cannot directly observe the intricate inner workings of the world. Yeon Soon studies how reliance on inference can introduce biases in human memory and decision-making. Yeon Soon is particularly interested in biases in social contexts, such as interpersonal and intergroup biases in evaluations. She primarily uses computational modeling–a powerful method for examining the underlying mechanisms behind human behaviors–to investigate these phenomena. By modeling human decisions and inference processes, Yeon Soon aims to identify cognitive and neural components that drive biases. Through identifying precise components, Yeon Soon plans to develop theory-driven intervention strategies to reduce biases. In addition to her research, Yeon Soon is passionate about making computational methods accessible to emerging scholars. Yeon Soon is excited to teach computational modeling and integrate it into research and teaching practices at ÷ÈÓ°Ö±²¥.