Summary
Eamon O'dea is a data scientist with 11 years of experience applying mathematical and statistical models to infectious disease dynamics and reproducible analysis pipelines. He transitioned from academic postdoctoral work—where he developed and tested dynamical and statistical models, ran simulation studies, and combined incidence and molecular data—to an industry role at State Farm, bringing rigorous research practices into production analytics. His PhD in Ecology, Evolution, and Behavior underpins deep subject-matter expertise in population dynamics and evolutionary processes, paired with practical skills in codebase contribution, data-driven reporting, and mentoring. Eamon is comfortable bridging detailed mechanistic models and scalable, reproducible workflows, making complex epidemiological insights usable for decision-makers. Based in Athens, GA, he blends academic rigor with applied problem-solving and a proven track record of communicating results to both scientific and operational audiences. An understated strength is his long-running focus on reproducibility and pipeline development, which helps ensure analyses are both credible and repeatable.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Ecology, Evolution, and Behavior, Doctor of Philosophy (PhD), Ecology, Evolution, and Behavior at The University of Texas at Austin
Bachelor of Science (BS), Biology, General, Bachelor of Science (BS), Biology, General at SUNY Geneseo
Seton Catholic Central High School
English, Spanish