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 (Ecole Polytechnique Federale de Lausanne; http://epfl.ch) where he conducted research in single particle electron microscopy, kernel smoothing, and forensic science.
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