Tal Zinger is a bioinformatician and AI researcher with eight years of experience bridging clinical benchwork and computational genomics, currently applying long-read sequencing and machine learning at Sheba Medical Center. He holds a PhD in Computational Biology from Tel Aviv University where he studied viral evolution and developed methods to predict mutational fitness with direct clinical relevance. Tal has built production pipelines across Illumina, PacBio and Oxford Nanopore platforms, integrated high-performance tools like DRAGEN, and designed genomic databases for large-scale clinical research. His background blends hands-on wet-lab insight with systems-level engineering—from automated experimental hardware in his M.Sc. work to deploying scalable bioinformatics workflows—enabling practical translation of AI-driven genomics into diagnostics and epigenetics. An Israeli-based researcher, he brings a rare combination of operational IT experience and deep academic rigor to tackle real-world problems in infectious disease and precision medicine.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at Tel Aviv University
Master of Science (M.Sc.) Biomedical Sciences, Master of Science (M.Sc.) Biomedical Sciences at The Hebrew University of Jerusalem
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