Todd Kuffner 

News: August 2, 2017 Awarded NSF Grant DMS1712940 Recent & Upcoming Talks: November 15, 2017 Department Colloquium UNC Chapel Hill November 1, 2017 Wharton Statistics Seminar University of Pennsylvania October 26, 2017 Stochastics Seminar Georgia Tech October 5, 2017 Statistical Machine Learning Group Carnegie Mellon University 
I am an assistant professor in the Department of Mathematics at Washington University in St. Louis. I
am part of the Statistics
Group. Research interests:
My research spans statistical theory, foundations, and
methodology. Using techniques from asymptotic theory,
I study the questions of validity, accuracy and power of
statistical inference procedures, and also develop methods which
can help achieve these goals. I am interested in the relationships
between different paradigms for statistical inference, such as
neoFisherian, Bayesian, and frequentist approaches, and also new methods for datadriven science from machine learning. In
addition to ongoing work on higherorder asymptotics for
likelihoodbased and Bayesian inference, I am currently working on
postselection inference, the bootstrap, and prediction after model
selection. I received my PhD in mathematics
from Imperial College London
under the direction of Alastair Young. I am the lead organizer of the Workshop on HigherOrder Asymptotics and PostSelection Inference (WHOAPSI), which is taking place for the third time from September 810, 2018. EducationPh.D. Mathematics, Imperial College London M.Sc. Econometrics and Mathematical Economics, London School of Economics M.Sc. Economics, London School of Economics B.A. Economics, University of Michigan Ann Arbor 
Washington University: Department of Mathematics 1 Brookings Drive, Campus Box 1146 St. Louis, MO 63131 Email: kuffner@wustl.edu Recent & Upcoming Visitors: Oct. 19, 2017 Tom Severini Northwestern University Oct. 913, 2017 Dominique Picard University of Paris 7 Oct. 913, 2017 Gerard Kerkyacharian University of Paris 6 Sep. 2829, 2017 John Kolassa Rutgers University 