Chris Kennedy is a consulting data scientist and biostatistics PhD student specializing in machine learning, impact evaluation, causal inference, and computer vision. He develops and implements methods for randomized controlled trials, statistical learning, and variable importance estimation. He is affiliated with the Hubbard research group, the Social Sciences Data Lab, Biomedical Big Data training fellowship, and BIDS, and is a member of the Analyst Group.
Prior to coming to Berkeley, he spent 7 years in DC working with progressive organizations on campaign field experiments, predictive models of political behavior & attitudes, and advocacy using digital technologies. He has worked fo...
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