Manuela Zucknick

Associate Professor - Department of Biostatistics

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

  • Since 2015   Associate professor, 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
Tags: Biostatistics, Cancer, Risk prediction, Integrative genomics, Epidemiology, Personalised Medicine, Precision Medicine
Published Jan. 5, 2015 12:33 PM - Last modified Nov. 15, 2020 3:01 AM