Summary
Shawn O'neil is an Assistant Professor and computational scientist specializing in methods development for health data analysis, blending statistics, machine learning, and AI to tackle high-dimensional, multi-modal biomedical problems. With 11 years of experience across academia — including faculty roles at UNC Chapel Hill, University of Colorado Anschutz, and Oregon State — he focuses on model interpretability, scalability, and translating real-world health data into actionable discovery. He is also a dedicated educator who builds courses, workshops, tools, and textbooks that teach practical programming and data analysis skills to researchers and professionals. Known for bridging theory with applied data engineering in biomedical informatics, he brings a rare combination of rigorous PhD training and hands-on curriculum development that accelerates both research and workforce readiness.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science and Engineering, Doctor of Philosophy (Ph.D.) Computer Science and Engineering at University of Notre Dame
English