Professional Background

Jeffrey A. Thompson received his PhD in Quantitative Biomedical Science from Dartmouth College, focusing on the application of machine learning and data integration techniques to molecular epidemiology. He is PI of the Curated Cancer Clinical Outcomes Database (C3OD) for the KU Cancer Center. C3OD integrates information from electronic medical records, a tumor registry, a biospecimen repository, and a clinical trial management system to facilitate cancer research by providing easy-to-use software for feasibility projection for cancer studies, automated clinical trial pre-screening, and detailed search capabilities for biospecimens, among other capabilities. Additionally, Dr. Thompson is leveraging his expertise in deep learning to develop natural language processing capabilities for handling the unstructured data that is inherent to electronic medical records. Furthermore, Dr. Thompson co-directs a team of informaticists and data scientists that are working to create, deploy, and integrate a world-class set of tools for all aspects of research, including data collection, clinical trial management, accrual monitoring, screening, research drug dispensation, and more. As Associate Director of the Quantitative Omics Core for the Kansas Institute of Precision Medicine COBRE, he helps support a range of precision medicine projects and is working to develop new methods for interrogating genomic data to gain a more holistic understanding of disease.

• BS, Computer Science, University of Southern Maine, Portland, ME
• PhD, Quantitative Biomedical Science, Dartmouth College, Hanover, NH

• American Statistical Association, Member, 2017 - Present