I am an Assistant Professor in the Department of Statistics at the University of Florida. I work on reliable inference in nonstandard settings: singular information, near-boundary parameters, and complex dependence. Mixed models, where all three arise, motivate much of my work, as do collaborations with researchers in biomedicine, psychology, and economics. A second line of research concerns high-dimensional problems, such as large covariance matrix estimation and dimension reduction. I develop asymptotic theory, efficient algorithms, and software implementing them.

Previously I was an Assistant Professor in Biostatistics at Karolinska Institutet and a postdoc at TU Wien. I hold a Ph.D. in Statistics from the University of Minnesota, and a B.Sc. in Economics and an M.Sc. in Finance from the University of Gothenburg.

I serve as an Associate Editor of Statistics and Probability Letters.

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Contact me at k.ekvall@ufl.edu. My office is 205 Griffin-Floyd Hall, University of Florida.