Summary
Erin S is a Lead Data Scientist with a PhD and 13 years of analytical experience, specializing in designing, deploying, and monitoring cloud ML/AI products that measurably improve clinical outcomes and revenue across large health systems. At Ascension she has directed development of nine production AI tools—ranging from a readmissions model deployed to 121 hospitals to a mortality model in 325 physician offices—demonstrating concrete gains in detection rates and precision during pilots. She pairs rigorous modeling and MLOps best practices (version control, containerization, monitoring for drift, fairness evaluation) with clear communication to clinicians and executives, enabling adoption across clinical, engineering, and platform stakeholders. An empathetic leader and mentor, she has scaled a team of data scientists while instituting dev/prod separation and robust validation practices. Her academic work in Bayesian inference and systems biology yielded publications in high-impact journals, a background that underpins her strength in causal analysis and principled model calibration. Based in Nashville, she blends deep quantitative rigor with product-focused delivery and a knack for translating complex AI value to non-technical audiences.
13 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Chemical and Physical Biology, Doctor of Philosophy - PhD, Chemical and Physical Biology at Vanderbilt University
Data Science Bootcamp, Data Science Bootcamp at Thinkful
Bachelor of Science - BS, Chemistry, Highest Honors, Bachelor of Science - BS, Chemistry, Highest Honors at Cedarville University