Susan Paddock

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]

References
  1. Susan Paddock at the Mathematics Genealogy Project
  2. "Susan Paddock Named Executive Vice President and Chief Statistician of NORC at the University of Chicago", Press Release, NORC at the University of Chicago, retrieved 2021-05-18
  3. Mangan, Dan (12 April 2016), Fool's errand? Testing the safety of self-driving cars, CNBC
  4. "Susan Paddock", Experts, NORC at the University of Chicago, retrieved 2021-05-18
  5. ASA Fellows list, American Statistical Association, retrieved 2021-05-18
  6. Health Policy Statistics Section Achievement Awards, American Statistical Association, retrieved 2021-05-18
  7. "Current Officers", Section on Bayesian Statistical Science, American Statistical Association, retrieved 2021-05-18
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