Summary
Elise Eiden is a Medical Informaticist III with 11 years of engineering and data science experience bridging telecom-grade systems and clinical informatics. She combines an MS in Computer Science from Georgia Tech with hands-on expertise in SQL, Python, MATLAB and healthcare EHR integration to translate predictive models into Epic workflows and measurable clinical impact. Her background at AT&T driving OpenStack interoperability and building VNF testing frameworks informs a pragmatic approach to scalable, production-ready tooling in healthcare settings. Elise has led model prioritization pipelines, streamlined integration processes, and taught a university machine learning course, showing she moves fluently between research, education, and operational delivery. Based in Missouri, she brings a knack for repurposing infrastructure and simplifying complex technical handoffs to accelerate adoption in clinical environments.
11 years of coding experience
10 years of employment as a software developer
Magnificat High School
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Georgia Institute of Technology
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at University of Notre Dame
Spanish