I am an associate professor in the Department of Statistics at The Ohio State University. My research interests include uncertainty quantification and statistical inverse problems.
1958 Neil Avenue, 429 Cockins Hall
Columbus, OH 43210-1247
I joined the department in 2014, after finishing my PhD in the Department of Statistics & Actuarial Science at Simon Fraser University in beautiful Burnaby (British Columbia, Canada), advised by Dr. David Campbell. This is where I became interested in inference and uncertainty quantification for complex systems. Before that I studied nonparametric smoothing methods, advised by Dr. Natalia Stepanova in the School of Mathematics and Statistics at Carleton University in Ottawa (Ontario, Canada). I have also worked as a researcher for the Government of Canada.
My research is in the areas of uncertainty quantification and stochastic computation. The primary focus of my current work is in relating error models for numerical methods to probability models of epistemic uncertainty. In particular, I have been working on probabilistically characterizing discretization uncertainty associated with finite-dimensional representations of the solution of nonlinear differential equations. This research area lies at the interface between statistics and numerical analysis.
My interest on statistical inverse problems also includes development of an efficient approach for likelihood-free inference for models defined on variable-dimensional parameter subspaces, as well as development of methodology for state and parameter inference for functional data described by nonlinear delay differential equations.
Copyright (c) 2016 Oksana Chkrebtii