Summary
Katie Lyons is a data analytics manager and former epidemiologist with 11 years of experience applying computational biology and public health methods to real-world problems. Based in Chicago, she has led probabilistic record linkage, standardized multi-language pipelines (SAS, SQL, Python, R), and maintained shared codebases to streamline maternal health and vital records analyses for state health agencies. She blends technical depth in phylogenetics and scripting with hands-on project management in a PMO, training analysts and translating complex results for stakeholders including clinicians and legislators. Her background teaching intensive Python courses and contributing computational biology workflows reflects a commitment to reproducible science and clear data communication. Colleagues rely on her ability to refactor legacy analytic systems into documented, reusable templates that reduce friction across teams.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Biology & Environmental Science, Bachelor of Science - BS, Biology & Environmental Science at Nazareth College
Master's degree, Ecology and Evolutionary Biology, Master's degree, Ecology and Evolutionary Biology at The University of Texas at Austin