Wouter Meuleman Email & Phone Number

Computational Biologist with independent NIH funding and high-impact well-cited papers. Research interests on the interface of large-scale (epi)genomic data analysis, data science, machine learning and visualization. Particular interest in the functional organization of the regulatory genome.QUALIFICATIONS• Leadership skills: Hired, trained and supervised computational scientists ranging from BSc to PhD+ level. Supervised 20+ students at undergrad, Master and PhD levels, overseeing theses, rotations and class projects. Leadership role in an NIH flagship project and international research consortium.• Communication skills: Prize-winning presenter, who can break down results and ideas to audiences at any level and who thrives in inter-disciplinary environments. Published author in top-tier scientific journals. Principal Investigator on a 5-year NIH funded personal grant (R35 NHGRI Genomic Innovator Award).• Technical skills: 18+ years full-time experience in data analysis, using various programming languages (R/Python/Perl/C) and datatypes, including DNA/RNA/ChIP/DNaseI-seq, DamID and mass spectrometry data. Developed several computational approaches for genomic and proteomic data analysis.

Listed skills include Bioinformatics, Computational Biology, Genomics, Molecular Biology, and 34 others.