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as a phd Researcher in bio-Informatics i couple knowledge of Genetics with mathematical and computational skills to analyze big data. i have a passion for digging into a subject and providing an efficient solution depending on state-of-the-art methodologies. with a background as Engineer in applied Physics, i possess of a strong analytical mind, which i combine with an eager to learn mindset. while i can enjoy working in a team and discussing interesting ideas with colleagues, i can also work independently and focussed on a specific part of the project until i find the the perfect solution.


Current Experience

  • PhD student

    Since November 2011
    department: mathematical modelling, Statistics and Bioinformatics Research unit knowledge-based systems subject: development, implementation and benchmarking of Algorithms for the construction of large-scale genomic prediction models. Department: Mathematical modelling, Statistics and Bioinformatics Research Unit Knowledge-based Systems Subject: Development, implementation and benchmarking of algorithms for the construction of large-scale genomic prediction models.

Past Experience

  • Reload Technical Support Engineer

    March 2009 --- November 2011
    section modelisation & calculations - core & fuel studies projects: - follow-up of monthly core flux measurements - implementation of loading pattern optimiser to simplify the search for a loading pattern which satisfies all safety criteria - economical and technical optimisation of usage of nuclear fuel for unit doel 4 - Validation and Verification of implementation of new methodology for Verification of the overtemperature protection function for a new cycle - cycle-specific safety studies for unit doel 4


Self Assessment :
Analytical thinkingAttention to detailEfficiencyIndependenceInnovative thinkingInterest in knowledgeProblem solvingSelf-discipline


Self Assessment :
Biostatistics R&D Scientific writingBioinformaticsData AnalysisDNAGeneticsIt skillsLaTeXMATLAB (matrix laboratory)Microsoft OfficePhenotype ProgrammingGenomic PredictionQuantitative Genetics
LinkedIn Assessment :
EngineeringSoftware EngineeringComputer ScienceSoftware ImplementationNuclear PhysicsNuclear EngineeringNuclearResearchPhysicsAlgorithmsLaTeXCAwkR&D

Skills and Expertise

Self Assessment :
Interpret data Report data Technology researchData analysisSolve problemsProgramming


  • Graduate Engineer / MSc in Engineering in Applied Physics, Nuclear Physics from Universiteit Gent in 2008
  • Latijn-Wiskunde in ASO from Koninklijk Lyceum Aalst in 2003


BrightOwl Assessment:
Self Assessment:
Full Proficiency
Professional Proficiency
Elementary Proficiency

Work Preferences

  • Work From Home:
    Yes, 0 to 2 days per week
  • Work Regime:
    Permanent position
    BrightOwl employee
  • International:


    Expert has 1 publications (Will be avalible with full profile)

Area / Region

Erpe-Mere, Belgium


Driving License
  • Yes

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