Experienced data scientist, coder and consultant, looking for ways to advance human knowledge and productivity. Always excited to learn about new fields and solving complex problems. Technical strengths: modeling (Bayesian, physical), Python, C++, statistics, high performance computing, parallelization, data mining, NLP. Track record in fields ranging from Astrophysics/Cosmology (PhD) and Particle Physics to Media History and automated (OCR) spelling correction. Open to cool new projects in these or similar fields, but also in business, finance and medical science.As an eScience Engineer at the Netherlands eScience Center I currently work on optimizing the statistical framework RooFit that is used for distilling physics knowledge from CERN LHC data, for instance on the Higgs particle. I also work on the OCR post-correction software TICCL, upgrading it to become more widely usable for language research. My previous projects were in the field of eHumanities, where I applied natural language processing techniques to analyze large historical datasets.In my free time I work on complex statistical (Bayesian) techniques for studying the origin and evolution of large scale structures of the universe and the connection of these structures to fundamental physics (dark energy).