He conducts applied laboratory medicine research with a pragmatic focus on quality care initiatives, laboratory outcomes, statistics, machine learning, and artificial intelligence applications in the context of pathology and clinical medicine. His primary research interests are in clinical informatics and using novel data management technology to better derive insight into the quality and overall operations for laboratories and patient care. Ongoing projects involve the investigation of stream processing of interface data for the purposes of automated sample identification for subsequent biobanking. Machine learning related projects include the use of 'very deep' convolutional neural networks for automated classification of digital images acquired in the clinical laboratory.