Organizing Committee Member
David J. Foran
CIO & Exec. Director, Computational Imaging & Biomedical Informatics
Rutgers Cancer Institute of New Jersey
USA
Biography
Dr. Foran is Professor of Pathology, Laboratory Medicine & Radiology and Chief of the Division of Medical Informatics at Rutgers-Robert Wood Johnson Medical School. He also serves as Executive Director of Computational Imaging & Biomedical informatics; and Chief Informatics Officer at The Cancer Institute of New Jersey. His research focuses on the design, development, and implementation of new approaches in computer-assisted diagnostics, medical imaging and statistical pattern recognition for resolving challenging clinical problems in pathology, radiology, and oncology. He has served as a speaker and session chair for the IEEE international conferences for the engineering in medicine and biology society (EMBS); as the director and session chair for the scientific program for the annual conferences of the national Association for Pathology Informatics (API); as an invited speaker for the American Society for Investigative Pathology (ASIP); as an organizer and session chair for the World Conference on Medical Physics and Biomedical Engineering and the MICCAI International Workshop on High-Performance and Distributed Computing for Medical Imaging. Dr. Foran has served as a charter member on the Biomedical Computing and Health Informatics (BCHI) study section at the National Institutes of Health (NIH). In 2013, he will serve as a reviewer for the Biodata Management and Analysis (BDMA) Study Section for the National Institute of Biomedical Imaging and Bioengineering at NIH. He currently serves as a consultant to the U.S. Food and Drug Administration (FDA); as an Associate Editor for the journal on Cancer Informatics; as an Associate Editor Journal of Pathology Informatics; and as a reviewer for the American Medical Informatics Association; BMC Cancer; Archives in Pathology and Laboratory Medicine; the IEEE Transactions on Information Technology in Biomedicine; and the IEEE Transactions on Medical Imaging.
Research Area
1) Design/development/implementation of new approaches in statistical pattern recognition, automated image interpretation and computer assisted decision support for resolving problems in computational biology and diagnostic pathology/ radiology 2) Development of web-based data-mining technologies and computational methods for characterizing lymphoproliferative disorders elucidating the role that protein and molecular expression plays in determining the morphologic profiles exhibited by a range of malignancies.