Summary
Austin Eaton is a data scientist with 11 years of experience applying machine learning, biostatistics, and advanced analytics to turn complex datasets into actionable insights for defense, national security, and healthcare contexts. Currently at Mission Technologies (HII), he bridges cutting‑edge AI research with real‑world deployments, having previously led impactful analyses at Inari Medical that linked a DVT device to lower mortality in a 1.9M‑encounter real‑world dataset. His background spans implementation engineering and applied analytics at Govini and Amtrak, plus academic work developing an open‑source R package that applies embedding techniques to microbiome data. Trained at Georgetown (MS Data Science) and Oregon State (BS Mathematics), he combines rigorous statistical foundations with practical engineering chops—equally comfortable shipping code and presenting results to stakeholders. Based in Washington, D.C., he brings a rare mix of defense‑grade security awareness and biomedical analytic experience, with a track record of translating research methods (e.g., embeddings, regression modeling) into operational impact.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Data Science and Analytics, Master's degree, Data Science and Analytics at Georgetown University
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Oregon State University
German, English