Erik Brockbank is a postdoctoral researcher at Stanford’s Causality in Cognition Lab with nine years of experience bridging computational modeling and real-world engineering. He studies how people form robust, predictive models of others using behavioral experiments and Bayesian and machine-learning techniques developed during his PhD at UC San Diego. Before returning to academia he spent several years at Dropbox in reliability and capacity engineering, giving him rare hands-on production experience alongside rigorous cognitive-science training. Based in Palo Alto, he holds an M.S. and B.S. in Symbolic Systems from Stanford and often combines formal models with practical experimental design to test how abstract algorithms map onto human social learning.
9 years of coding experience
5 years of employment as a software developer
Stanford in Berlin
M.S. Symbolic Systems, M.S. Symbolic Systems at Stanford University
Contributions:120 pushes, 1 branch in 8 years 2 months
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