Todd Kuffner is an Associate Professor in the Department of Mathematics and Statistics at Washington University in St. Louis. Professor Kuffner earned degrees from the University of Michigan and London School of Economics before completing his Ph.D. in the Department of Mathematics at Imperial College London in 2011. His research interests include philosophy of statistics and data science, higher-order asymptotics, high-dimensional and post-selection inference, the bootstrap, dependent data, differential geometry in statistics, and Bayes-frequentist reconciliation. Professor Kuffner's research has been supported through multiple NSF awards, and published in leading statistics journals including the Annals of Statistics and Biometrika. He is an editorial board member at the Journal of the American Statistical Association, Sankhya, and the Journal of Machine Learning Research. Professor Kuffner regularly organizes international conferences on post-model-selection inference. He also works with neuroscientists at the Washington University School of Medicine to study disease progression in Alzheimer's disease.