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Personal profile

Ancillary activities

  • Stichting Prelude Foundation | Amsterdam | Penningmeester | 2010-02-15 - present

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Personal information

Research

My research generally involves integrating, modelling and learning from data that has been derived from several sources ranging from high-throughput molecular profiling techniques to atomic force spectroscopy measurements. My focus lies both on mining quantitative data from heterogeneous sources effectively, and modelling such data within the given physical constraints.

Interests

  • Bioinformatics
  • Computational biophysics
  • Data science
  • Protein thermodynamics
  • Mining quantitative data

Keywords

  • Q Science (General)
  • Bioinformatics
  • Data Science
  • Biophysical simulations
  • Data integration

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