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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.

Trainings

January 10, 2018
November 8, 2017
September 22, 2017