Academic interests
Statistical learning for translational and clinical cancer research, in particular for personalised cancer therapies. Integration of multi-omics data and other data sources for prediction of drug response and synergies in pharmacogenomic screens and of prognosis and treatment response in patients.
- Statistical machine learning in molecular medicine
- Structured high-dimensional regressions (for "large p, small n")
- Regularization (using penalized likelihood and Bayesian methods)
- Bayesian methods for integrating heterogeneous data sources (e.g. multi-omics) and for incorporating prior biological knowledge in risk prediction models
Background
- From 09/2023 Director, Oslo Centre for Biostatistics and Epidemiology, University of Oslo and Oslo University Hospital
- From 05/2022 Professor, Oslo Centre for Biostatistics and Epidemiology, Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo
- 2015 - 2022 Associate professor, Oslo Centre for Biostatistics and Epidemiology, Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo
- 04/2014 – 09/2014 Visiting lecturer, Faculty of Statistics, TU Dortmund University, Germany
- 2008 – 2014 Postdoc, Division of Biostatistics, German Cancer Research Center, Heidelberg, Germany
- 2013 – 2014 Working group «Bayesian statistics for integrative genomics» (team leader)
- 2008 – 2013 Working group «Statistics for translational oncology»
- 2004 – 2008 PhD Biostatistics, Department of Epidemiology and Public Health, Imperial College London, United Kingdom
- 2003 – 2004 MSc Bioinformatics, Centre for Bioinformatics, Imperial College London, United Kingdom
- 1998 – 2003 Diplom Statistik, Department of Statistics, University of Dortmund, Germany