I am a postdoctoral research fellow at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
- PhD in Mathematical Statistics, Chalmers University of Technology.
- MSc in Engineering Biology, Linköping University.
My work is mainly connected to statistical methodology development with application to large-scale biological data. I also have a keen interest in statistical computing.
I am also a guest researcher at the Cancer Research UK Cambridge Institute at the University of Cambridge with the Statistics and Computational Biology Laboratory.
- The ripe package for R: http://sourceforge.net/projects/ripe-regnetinf. Before joining MEB, I was a postdoc at the University of Michigan. We recently published a paper on estimation of gene regulatory networks: Inferring Regulatory Networks by Combining Perturbation Screens and Steady State Gene Expression Profiles.
- The smogs package for R: http://github.com/aleja067/smogs. A package designed to do variable selection of groups of features, which are allowed to overlap, in several tasks. The underlying model also supports sparsity within groups so that individual features can be set to zero. The package is a prerelease.
- The microsimulation package for R: https://github.com/mclements/microsimulation. A part of the eCPC project is to develop computational and statistical tools useful for the scientific community. One step of this is the release of an R package for microsimulation of cancer life histories and screening strategies. Mark Clements is the main author of the package.
- A mixed model approach to normalization of metabolomics data: http://sourceforge.net/projects/metabnorm/. The accompanying paper is under review.