Bayo Lau is a Head of Engineering and Data Science based in the San Francisco Bay Area with 11 years of experience building production-grade software and ML systems at the intersection of biotechnology, bioinformatics, and data science. He has led engineering and research teams at startups and enterprise labs—designing HIPAA-compliant cloud SaaS, scalable computational pipelines, and algorithms that translate novel biological data into actionable insights. His background spans hands-on C++ performance engineering for genome-scale analyses to architecting distributed ML and generative modeling workflows for biomarker discovery. Known for bridging deep technical rigor from a Columbia postdoc and a UBC PhD with pragmatic product delivery, he moves between code, models, and cross-functional leadership. At Dinamo and previously at HypaHub and Roche he repeatedly scaled first-of-kind systems and teams, often as an early technical hire shaping technical strategy. Beyond typical leadership duties, he combines numerical analysis expertise with practical software engineering to quantify feasibility and drive measurable advances in applied computational biology.
11 years of coding experience
5 years of employment as a software developer
PhD Numerical Analysis Computational Science Condensed Matter Physics, PhD Numerical Analysis Computational Science Condensed Matter Physics at The University of British Columbia
Postdoc Computational Physics, Postdoc Computational Physics at Columbia University
Contributions:6 releases, 323 commits, 44 PRs in 2 years
sequencingin-silicobioinformaticsdatatypeslong
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Bayo Lau - Head Of Engineering at Dinamo Biotechnologies