University of Kansas Medical Center
Kansas City, Kansas
Jeffrey Thompson, PhD is an Assistant Professor in the Department of Biostatistics & Data Science at the University of Kansas Medical Center. His works focuses on two key areas: genomic data integration, and clinical trial matching using electronic medical records. His genomic data integration research concerns the development of methods for creating prognostic models that integrate molecular data and more traditional clinical data to create models with a more holistic basis. The hope is that this approach will more accurately predict disease outcomes, provide improved insight into disease etiology, and increase the chances of translational benefits. This also includes research into methods for functional analysis that can identify biological processes that are similarly disrupted across multiple experiments. This has the potential to increase the benefit of using model organisms to study disease, identify possible cases for drug repositioning, and show how a new chemical might present similar risks to existing chemicals, among other uses. His electronic medical record research involves the development of software and databases for using medical records to make matching patients to clinical trials more efficient, and supporting retrospective studies. Among other techniques, this involves the development of natural language processing methods to extract information from free-text notes in patient records. Dr. Thompson is the Co-Director of the Curated Cancer Clinical Outcomes Database for the University of Kansas Cancer Center, and Associate Director of the Quantitative Omics Core for the Kansas Institute of Precision Medicine.