Department of Computer Science News
CS Colloquium by Dr. Philip R.O. Payne, Ohio State UniversityPosted Dec. 3, 2009
Speaker: Dr. Philip R.O. Payne,
Assistant Professor – The Ohio State University, Department of Biomedical Informatics
Director, Biomedical Informatics Program – The Ohio State University, Center for Clinical and Translational Science
Co-Director, Biomedical Informatics Shared Resource – The Ohio State University, Comprehensive Cancer Center
Translational Research Informatics Architect – The Ohio State University Medical Center
Title: The High Throughput Data Problem: Hypothesis Generation and Phenotype Modeling in Translational Research
Abstract: The provision of personalized healthcare is predicated on the ability to link biomarkers and a patient’s phenotype in order to identify risk factors for and diagnose or plan the treatment of disease states. Recent innovations in the bio-molecular sciences have created unprecedented opportunities for the generation of high-throughput biomarker data. Unfortunately, in comparison, the ability to leverage clinical and research information systems to generate large-scale phenotypic data is not as well developed. In addition, there is a compelling need to support correspondingly high-throughput hypotheses generation and testing methods relative to the multi-dimensional data sets that the integration of biomarker and phenotype data often yields. This presentation will review active research and development efforts concerned with the preceding areas currently taking place within the Center for Translational Research Computing, a research unit spanning OSU’s Department of Biomedical Informatics and Center for Clinical and Translational Science. This work focuses upon both: 1) the use of conceptual knowledge engineering techniques, leveraging knowledge collections such as ontologies, terminologies, and extracts from public databases and literature repositories, in order to reason upon large-scale integrative data sets and generate novel hypotheses linking biomarkers and phenotypes in such contexts; and 2) the application of human-factors analyses and formal knowledge acquisition techniques in order to improve our understanding of how to optimally capture high-throughput phenotypic data at the point-of-care.
Short Bio: Dr. Payne is currently appointed as an assistant professor in the Department of Biomedical Informatics at The Ohio State University (OSU-BMI). He also serves as the Director of the Biomedical Informatics Program for OSU’s CTSA-funded Center for Clinical and Translational Science, Co-Director of the Biomedical Informatics Shared Resource within the OSU Comprehensive Cancer Center, and as the Translational Research Informatics Architect for The Ohio State University Medical Center. Dr. Payne received his Ph.D. with distinction in Biomedical Informatics from Columbia University, where his research focused on the design and evaluation of advanced information management platforms for clinical and translational research. Dr. Payne’s research portfolio is broadly situated within the OSU Center for IT Innovation in Healthcare (CITIH), where he serves as the primary scientific leader of a group of over twenty researchers, developers, and trainees who are actively supported by a combination of NCRR, NLM, and NCI awards and contracts. In 2007, Dr. Payne’s national leadership in the domain of clinical research informatics was recognized when he was selected to co-chair the American Medical Informatics Association’s (AMIA) Clinical Research Informatics Steering Task Force, which is currently involved in defining AMIA’s objectives for establishing itself as the preeminent professional home for Clinical Research Informatics researchers and practioners.
Time: Friday, December 11, 2009, 3:45 - 5:00 PM
Place: MSB, Room 228