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Chris is a graduate student in the Psychology department. His research looks at decision making biases associated with anxiety and depression. He uses a computational approach, leveraging models from Bayesian statistics and reinforcement learning, to study these cognitive biases. He is also more broadly interested in the application of machine learning to cognitive neuroscience.