His primary interest is the application of computational methods within the social sciences. His technical expertise spans formal methods, computational modelling, agile development, and data science. Projects he has contributed to include topics from Criminology, Public Safety, Political Science, Public Health, and Gerontology. As a veteran interdisciplinary and transdisciplinary researcher, Piper is very interested in how innovative science can work with industry, government, and communities to support positive social change. Piper's is currently looking at applications of machine learning to long-term care data.