Gal Horesh is a Senior Bioinformatician with eight years of experience combining computer science rigor and genomics expertise to deliver production-grade data solutions. Trained at Cambridge (PhD in Computational Biology) and Imperial (MSc, distinction), he built and curated an 18,000-genome E. coli collection during his doctoral work and developed scalable Python/R pipelines that account for dataset bias and horizontal gene transfer. At Microbiotica he leads end-to-end analyses, authors in-house packages with unit tests and git workflows, and represents bioinformatics in cross-functional programs translating complex results into actionable decisions. Comfortable across Python, R, Bash and C#, he pairs strong engineering discipline with a passion for clear data visualization and reproducible research. Based in Lisbon, he brings a rare blend of large-scale microbial genomics experience and hands-on software development to biomedical data science.
8 years of coding experience
1 year of employment as a software developer
Bachelor's Degree, Computer Science, summa cum laude, Bachelor's Degree, Computer Science, summa cum laude at Tel Aviv University
Doctor of Philosophy (Ph.D.), Computational Biology, Doctor of Philosophy (Ph.D.), Computational Biology at University of Cambridge
Master’s Degree, Bioinformatics and Systems Biology, Distinction, Master’s Degree, Bioinformatics and Systems Biology, Distinction at Imperial College London
Contributions:4 commits, 5 pushes in 1 year 9 months
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