Ivana Piližota is a Bioinformatics Developer with nine years of experience applying rigorous quantitative training (BSc Mathematics, MSc Mathematical Statistics, PhD in Bioinformatics) to accelerate genomics workflows in both academia and industry. Based at EMBL-EBI, she has a track record of engineering practical bioinformatics solutions—ranging from clustering algorithms that achieved 4x speedups in protein comparisons to pipelines that improved thousands of fragmented gene annotations. Comfortable across Python, R, Bash and HPC environments, she pairs technical depth with clear communication, having authored manuscripts, taught tutorials, and supervised interns. Her work spans international collaborations in Europe and Asia and includes hands-on contributions to crop-science projects, revealing a knack for translating statistical ideas into tools that scale to real-world biological datasets.
9 years of coding experience
Master of Science (MSc), Mathematical Statistics, magna cum laude, Master of Science (MSc), Mathematical Statistics, magna cum laude at University of Zagreb
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