Billy Wooton is a Data Science Specialist with nine years of experience applying machine learning, data engineering, and computational modeling to biomedical and public-sector challenges. He currently develops cloud-native data pipelines, AutoML-driven ensembles, and predictive models for clinical EHR analytics at the University of Hawaiʻi and leads AI-driven phytomedical drug-discovery analytics at Chaminade University. His background includes building an AWS data lake for the State of Hawaiʻi, enabling reproducible, operationalized data products and scalable analysis. Trained with an MS in Computer Science (Data Science) and a BS in Marine Biology, he blends domain knowledge across natural sciences and computation to tackle interdisciplinary problems. He also pursues programming language theory in side projects, having implemented an R7RS-compliant Scheme interpreter in C++, which reflects a deep interest in language design and systems-level software. Based in Kapolei, Hawaii, he combines research publications and practical engineering to turn complex biomedical data into actionable insights.
9 years of coding experience
5 years of employment as a software developer
High School Diploma, General Studies, High School Diploma, General Studies at Kula High and Intermediate
Master of Science - MS, Computer and Information Sciences, General, Master of Science - MS, Computer and Information Sciences, General at University of Hawaii at Manoa
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