Tunc Morova is a data scientist and bioinformatician with a PhD and a decade of experience turning large-scale genomic datasets into biological insight. He has driven and published high-impact work on enhancer biology and cancer genomics, building scalable Snakemake and Python pipelines and leading development of a variant-aware snpSTARRseq assay now published in NAR and cited in Nature Genetics. Comfortable across R and Python ecosystems, he applies machine learning, single-cell analysis (Seurat, Monocle, Scanpy/PAGA/CellRank) and Random Forest models to dissect complex regulatory landscapes. Tunc combines hands-on HPC and cloud experience with rigorous experimental collaboration, having processed thousands of whole genomes and reconstructed bespoke sequences for functional assays. Based in Vancouver, he now focuses on applying his computational rigor to industry-scale data science problems that bridge method development and actionable biological discovery. An uncommon strength is his track record of translating novel experimental methods into reproducible, production-ready analysis pipelines used by international collaborators.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Bioengineering, Bachelor's degree, Bioengineering at Marmara Üniversitesi
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at The University of British Columbia
Master's degree, Bioinformatics, Master's degree, Bioinformatics at Koç University
High School, I spent a year in USA, NE as a cultural ambassador., High School, I spent a year in USA, NE as a cultural ambassador. at Sandy Creek High School
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