Matthew Biggs is a PhD-trained computational biologist and engineering leader with 13 years of experience applying AI/ML and scalable cloud infrastructure to accelerate biotech R&D. He has led hands-on projects that deployed deep protein language models at >2M invocations and architected AWS pipelines that cut compute spend by 80%, driving ML designs into 100% of flagship strains. Equally comfortable in the lab and the cloud, he built high-throughput data pipelines, automated annotation for 100k+ genomes, and translated models into field-tested products. Matthew combines technical leadership and cross-functional influence—presenting ML roadmaps to C-suite audiences, partnering on commercial financial models, and founding culture initiatives across organizations. Currently pursuing an Executive MBA at Duke Fuqua, he blends rigorous computational expertise with growing strategic and operational business acumen. Outside work he’s an avid outdoorsman and experimental baker, bringing curiosity and stamina to long-term problem solving.
13 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS), Bioinformatics, Bachelor of Science (BS), Bioinformatics at Brigham Young University
Executive MBA, Executive MBA at Duke University
Associate of Science (A.S.), 4.0, Associate of Science (A.S.), 4.0 at Lord Fairfax Community College
Doctor of Philosophy (PhD), Computational Biology, Doctor of Philosophy (PhD), Computational Biology at University of Virginia
Portuguese, creoles and pidgins, portuguese-based, Spanish
Contributions:59 commits, 56 pushes, 1 branch in 5 months
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