Summary
Stephen Filios is a data scientist and machine learning engineer with nine years of experience and a life sciences focus, currently a Research Scientist at FamilySearch in Salt Lake City. He leads research on semi-supervised and self-supervised learning to unlock insights from large unlabeled data, applying AI/ML to genealogical and archival information. Previously, as Senior ML Engineer at FamilySearch, he built production Java pipelines that process hundreds of millions of historical document images, using computer vision and NLP to recognize multilingual text, detect entities, perform co-reference resolution, and assemble searchable genealogical records with safeguards to avoid nonsensical outputs. He earned a PhD in Pathobiology and Molecular Medicine from the University of Alabama at Birmingham, a B.S. in Neuroscience from Brigham Young University, and conducted postdoctoral research at UCSF. His career also spans TD Ameritrade, independent data science work, teaching online, and research coordination, with four patent applications to his name.
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