B.S. Mathematics & Statistics, B.S. Economics, University of Washington; M.S.c. Applied and Computational Mathematics, D.Phil. Computational Statistics, University of Oxford.
Professor Konis' research interests are in statistical computing. He is the author and maintainer of several packages for the R environment for statistical computing including robust (robust statistical models), lpSolveAPI (linear programming), and RHugin (Bayesian belief networks). Before joining the Applied Mathematics department, Kjell was a postdoctoral research associate in the Chair of Mathematical Statistics at the Swiss Federal Institute of Technology in Lausanne, Switzerland (École Polytechnique Fédérale de Lausanne; http://www.epfl.ch) where he conducted research in single particle electron microscopy, kernel smoothing, and forensic science.