Scott Tyler is a Senior Principal Scientist with 12 years of cross-disciplinary experience spanning chemistry, bench molecular biology, and computational methods focused on single-cell and spatial multi-omics for precision oncology. He designs experiments, develops machine learning algorithms and statistical best-practices, and translates large NGS datasets into bench-testable hypotheses—particularly around immune activation and T-cell receptor diversity. Based in San Francisco, he has led single-cell -omics programs at IDEAYA and produced influential academic work at Mount Sinai tying method development to biological insights. His uncommon blend of hands-on bench skills and algorithm development enables tight collaboration with immunologists and cross-functional teams to rapidly prototype and validate new spatial transcriptomics approaches.
12 years of coding experience
6 years of employment as a software developer
BS Biology, BS Biology at West Chester University of Pennsylvania
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