Keiron Stoddart is a data-driven technology leader and CTO at Senscio Systems with 11 years of experience building ML-driven healthcare analytics and inference engines. He led the development of Ibis Analytics, a full-stack insights portal that translates statistically driven algorithms into actionable caregiver interventions for individuals and populations. His work focuses on predicting adverse health events for chronic disease patients and has produced open-source tools like edi-835-parser to simplify healthcare payments data processing. Trained with an MS in Machine Learning from Columbia and a BS in Physics and Economics, he blends rigorous academic foundations with practical product delivery. Keiron’s background spans hands-on research, teaching, and organizational leadership—he once managed a student government of 55+ members with a six-figure budget—bringing both technical depth and operational experience to his teams. Based in Chicago, he pairs scientific curiosity with a track record of turning complex health data into usable clinical insights.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science Physics and Economics, Bachelor of Science Physics and Economics at Allegheny College
Master of Science Machine Learning, Master of Science Machine Learning at Columbia University
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Keiron Stoddart - Chief Technology Officer at Senscio Systems