Ranko Gacesa
Postdoctoral Researcher at University Medical Center Groningen (UMCG)
Greater Groningen Area Netherlands
Summary
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Senior🎓
Top SchoolRanko Gacesa is a postdoctoral researcher and bioinformatics engineer with 11 years’ experience applying machine learning, search-engine methods and high-throughput -omics to questions in evolutionary biology, drug discovery and human disease. Based at UMCG, he leads work linking microbiome composition to autoimmune gastrointestinal disorders to drive novel diagnostics for inflammatory bowel disease. His PhD work at King’s College combined phylogenetics, protein modelling and virtual screening to discover Nrf2 pathway modulators and produced ToxClassifier, a machine-learning toxin-prediction web tool—illustrating his blend of computational pipeline engineering and wet-lab translation. Comfortable across Python/R/Java and Linux web stacks, he has built metagenomics and toxin-prediction applications and co-supervised students, bridging research, software delivery and teaching. Colleagues describe him as someone who mines overlooked signal in complex -omics datasets to unlock practical insights for biology and medicine.
11 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Biotechnology, Microbiology, Biochemistry, Master of Science (MSc), Biotechnology, Microbiology, Biochemistry at Sveuèilište u Zagrebu / University of ZagrebDoctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at King's College London
Github Skills (4)
describe3
microbiome2
modular1
extensible1
Programming languages (2)
Github contributions (5)
rgacesa/DHSP
Jan 2015 - Jan 2015
Contributions:3 commits in 1 day
azolin/Groningen-Microbiome
Oct 2019 - Nov 2019
Microbiome Projects from the Department of Genetics and Department of Gastroenterology and Hepatology , University Medical Centre Groningen
Contributions:4 pushes in 13 days
pythongroningengeneticssbmldepartment
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