Niclas Jonsson, Ph.D.

Scientific Director & Pharmacometrics Scientific Lead

Portrait-of-Niclas-Jonsson-Pharmetheus

Bio

  • Co-founded Pharmetheus in 2012, actively working in client projects, serving as Scientific Director, deputy Chief Research Officer, and Pharmacometrics Scientific Lead
  • Expertise includes pharmacometrics and its applications across therapeutic areas
  • Previously worked 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, 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
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Pharmetheus affiliated publications

Implementing a full random effects model (FREM) workflow in R using the saemix packageA structured approach to pharmacometric covariate modelling: why the estimand is the first decision and the method the secondThe use of full random effect models (FREM) in model informed precision dosing (MIPD) for a priori dose predictionsPopulation pharmacokinetics and exposure-response analyses of navepegritide in children with achondroplasiaUsage and regulatory acceptance of PBPK models in paediatric drug applications: a review of EMA and FDA public assessment reportsA structured approach to pharmacometric covariate modelling: why the estimand is the first decision and the method the secondExposure-response analysis for time-to-event data in the presence of adaptive dosing: efficient approaches and pitfalls (Poster)Using Full Random Effects Models (FREM) in different softwareThe Reference-Corrected Visual Predictive Check: A More Intuitive Diagnostic for Non-Linear Mixed Effects ModelsThe impact of misspecified covariate models on inclusion and omission bias when using fixed effects and full random effects modelsThe reference corrected VPC (rcVPC) – an informative model diagnostics for assessing underying exposure-response relationships