Mike Gloudemans is a Senior Bioinformatics Scientist in Mountain View with 11 years of experience developing algorithms for cancer biomarker discovery and early detection. He holds a PhD in Biomedical Informatics from Stanford and a Summa Cum Laude CS BS from Duke, blending rigorous computational training with translational genomics. At Guardant Health he has progressed through multiple research roles to design production-ready algorithms that translate genomic signals into clinically actionable biomarkers. His doctoral work produced widely used open-source tools and reproducible pipelines (e.g., LocusCompare and an ensemble gene-prioritization Snakemake workflow), reflecting a commitment to sharable, benchmarked methods. Mike combines deep statistical-methods expertise with practical pipeline engineering, routinely cleaning and integrating diverse large-scale GWAS and QTL datasets. He’s notable for moving methods from novel academic proofs into deployed clinical analytics, bridging research and product impact.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Summa Cum Laude, Bachelor of Science (B.S.), Computer Science, Summa Cum Laude at Duke University
Doctor of Philosophy (Ph.D.), Biomedical Informatics, Doctor of Philosophy (Ph.D.), Biomedical Informatics at Stanford University
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