Susan Mary Paddock is an American statistician whose publications have included work on nonparametric Bayesian inference,[1][2] substance abuse,[2] and the safety of autonomous vehicles.[3]
Paddock is a graduate of the University of Minnesota and has a Ph.D. from Duke University.[4] Her 1999 doctoral dissertation, Randomized Polya Trees: Bayesian Nonparametrics for Multivariate Data Analysis, was supervised by Mike West.[1] Formerly head of the RAND Statistics Group at the RAND Corporation, she moved to NORC at the University of Chicago in 2019 as chief statistician and executive vice president.[2]
She was named a Fellow of the American Statistical Association in 2013,[5] and in the same year won the Mid-Career Achievement Award of the American Statistical Association's Health Policy Statistics Section.[6] She was the 2019 chair of the association's Section on Bayesian Statistical Science.[7]
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