Stephen Filios is a research scientist and machine learning engineer with 9 years of experience applying ML and data science to life sciences and large-scale production systems. He holds a PhD in Pathobiology and Molecular Medicine and completed postdoctoral research at UCSF, where he led high-throughput genetic screens and designed experiments linking biology to computational insight. At FamilySearch he scaled production pipelines processing hundreds of millions of historical document images and now focuses on semi/self-supervised learning to extract signals from vast unlabeled datasets. Previously he built fraud-detection and recommendation systems at TD Ameritrade, authored multiple patent applications, and created tooling for model drift detection and deployment. Skilled at moving ideas through bureaucracies, he blends domain expertise in biology with pragmatic engineering—augmenting models with rule-based common-sense to avoid “stupid” failures in production. Based in Salt Lake City with international ties to Germany, he combines academic rigor with hands-on systems design and a knack for turning messy real-world data into actionable products.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Pathobiology and Molecular Medicine, Doctor of Philosophy (Ph.D.), Pathobiology and Molecular Medicine at University of Alabama at Birmingham
Bachelor of Science (B.S.), Neuroscience, Bachelor of Science (B.S.), Neuroscience at Brigham Young University
Contributions:3 PRs, 7 pushes, 2 branches in 1 year 5 months
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Stephen Filios - Research Scientist at FamilySearch