Andrew Lane is a software engineering manager and machine learning leader with 11 years of experience building production ML systems and data infrastructure at Block and earlier as a data scientist in CRISPR diagnostics. He combines hands-on model development and platform delivery with deep domain knowledge from a PhD and postdoc in molecular biology, enabling him to translate complex wet‑lab problems into scalable data and ML solutions. At Mammoth he helped seed a data-first culture that married lab automation, genomics and predictive models; at Google he automated lab workflows and built end-to-end informatics for experimental data. Now managing ML teams at Block, he focuses on high-impact productization of models and building engineering orgs that reliably turn raw data into actionable features. Colleagues describe him as a bridge between domain scientists and software engineers who ships reproducible pipelines and pragmatic ML tooling.
11 years of coding experience
7 years of employment as a software developer
Postdoc Molecular and Cell Biology, Postdoc Molecular and Cell Biology at University of California, Berkeley
Doctor of Philosophy (PhD) Cell/Cellular and Molecular Biology, Doctor of Philosophy (PhD) Cell/Cellular and Molecular Biology at University of Minnesota
Bachelor of Science (BSc) Biology with French, Bachelor of Science (BSc) Biology with French at University of St Andrews
Contributions:21 pushes, 2 branches in 1 year 3 months
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Andrew Lane - Software Engineering Manager at Block