Dr. Charalampos Kyriakopoulos

Dr. Charalampos Kyriakopoulos

Degree: PhD, Universität des Saarlandes

Sevilla, Spain



Professional experience for Charalampos Kyriakopoulos

  • Current , since Nov 2019

    Machine Learning Researcher

    Bristol-Myers Squibb GmbH & Co. KGaA

  • 6 months, Jun 2019 - Nov 2019

    Machine Learning Researcher

    Celgene GmbH

  • 5 years, Jan 2014 - Dec 2018

    Research Associate

    Max Planck Institute for Informatics

    Stochastic models for epigenetic processes • Optimization, parameter inference • Machine learning for whole genome analysis • Implementation of a complete tool targeted to biologists • Numerical algorithms for huge Markov chains • Optimal experiment design and chemical kinetics • Aggregation of mean-field ODEs for epidemic dynamics. • Author of 9 publications (lead author in 6 of those) in major journals and conferences • Co-supervisor of 2 master theses, T.A. in 5 courses

  • 1 year and 9 months, Jul 2007 - Mar 2009

    Technical Assistant - Developer

    Datum Business Solutions

Educational background for Charalampos Kyriakopoulos

  • Current 5 years, since Jan 2014

    Computational Biology

    Universität des Saarlandes

    Computational Epigenetics, Markov Chains, Machine learning, Non linear optimization, Bayesian statistics, MCMC methods, Whole genome analysis, Optimal experiment design, Stochastic chemical kinetics, Epidemic modeling, Random Graphs.

  • 5 years and 4 months, Sep 2006 - Dec 2011

    Computer Engineering and Informatics Department

    University of Patras

    Computational Complexity, Computability, Game Theory, Probabilities, Number Theory, Approximation and Parallel Algorithms.



  • Greek

    First language

  • English


  • German


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