- Co-founded Pharmetheus in 2012, actively working in client projects, and leading Pharmetheus’ pharmacometrics research.
- Expertise includes pharmacometrics and its applications across therapeutic areas.
- Experience as Senior Consultant at Exprimo NV, Sweden, where he interacted with clients and provided pharmacokinetic, pharmacodynamic, and disease modeling and simulation services to drug development programs in various therapeutic areas. Previously, he worked as Global Head of Modeling and Simulation at Hoffman-La Roche, Switzerland, Associate Professor of Applied Pharmacometrics and Senior Lecturer at Uppsala University, and as Postdoctoral Researcher at University of California San Francisco, USA. Co-developer of the software programs Xpose 4 and PsN.
- M.Sc. in Pharmacy (1991) and Ph.D. in Biopharmaceutical Sciences (1998) from Uppsala University, Sweden.
Pharmetheus affiliated publications
Efficient and relevant stepwise covariate model building for pharmacometrics Checklists and best practices to support the informed use of Forest plots to illustrate the impact of covariates in pharmacometric modelsWriting reports of modelling and simulation analysis: Our experience in the field of pharmacometricsAn Introduction to the Full Random Effects ModelPopulation Pharmacokinetic Analysis of Tepotinib, an Oral MET Kinase Inhibitor, Including Data From the VISION StudyEfficient and relevant stepwise covariate model building for pharmacometrics Lumenfantrine Exposure in Malnourished Children: PBPK Modeling Applied for Predictions and Dose AdjustmentsConditional Distribution Modeling as an Alternative Method for Covariates Simulation: Comparison with Joint Multivariate Normal and Bootstrap TechniquesA Physiologically-Based Pharmacokinetic Framework for Prediction of Drug Exposure in Malnourished ChildrenA Quantitative Approach to the Choice of Number of Samples for Percentile Estimation in Bootstrap and Visual Predictive Check AnalysesConditional Distribution Modeling for Covariates Simulation Using Classification and Regression Trees Methods