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Prof. Dr. Robert Murphy

Portrait of Robert Murphy

Carnegie Mellon University
Computational Biology

External Senior Fellow
BMBF “e:Bio” Grant
October 2018

Website

Last Update: 31.08.2019

Curriculum Vitae

Robert F. Murphy is the Ray and Stephanie Lane Professor of Computational Biology and director of the Ray and Stephanie Lane Center for Computational Biology at Carnegie Mellon University. He also is Professor of Biological Sciences, Biomedical Engineering, and Machine Learning, and Director (with Jelena Kovacevic) of the Center for Biomedical Image Informatics at Carnegie Mellon. He also directs (with Ivet Bahar) the joint CMU-Pitt Ph.D. Program in Computational Biology. Prior to arriving at Carnegie Mellon, Dr. Murphy was a Damon Runyon-Walter Winchell Cancer Foundation postdoctoral fellow with Dr. Charles R. Cantor at Columbia University from 1979 through 1983. Dr. Murphy earned an A. B. in Biochemistry from Columbia College in 1974 and a Ph.D. in Biochemistry from the California Institute of Technology in 1980. He received a Presidential Young Investigator Award from the National Science Foundation shortly after joining the faculty at Carnegie Mellon in 1983. In 2005, NIH selected him as the first full-term chair of its new Biodata Management and Analysis Study Section. In 2006, he was named a Fellow of the American Institute for Medical and Biological Engineering and he received an Alexander von Humboldt Foundation Research Award in 2008. Dr. Murphy has received research grants from the National Institutes of Health, the National Science Foundation, the American Cancer Society, the American Heart Association, the Arthritis Foundation, and the Rockefeller Brothers Fund. He has co-edited two books and two special journal issues on “Cell and Molecular Imaging,” and published over 150 research papers. He is President-elect of the International Society for the Advancement of Cytometry.

Dr. Murphy’s career has centered on combining fluorescence-based cell measurement methods with quantitative and computational methods. His group at Carnegie Mellon did extensive work on the application of flow cytometry to analyze endocytic membrane traffic beginning in the early 1980Õs and pioneered the application of machine learning methods to high-resolution fluorescence microscope images depicting subcellular location patterns in the mid 1990’s. This work led to the development of the first systems for automatically recognizing all major organelle patterns in 2D and 3D images. He currently leads NIH-funded projects for proteome-wide determination of subcellular location in 3T3 cells and continued development of the SLIF system for automated extraction of information from text and images in online journal articles. His group is also responsible for providing image informatics tools for the NIH-funded Technology Center for Networks and Pathways (headquartered at Carnegie Mellon) and for providing structured, image-based information on subcellular location for the National Center for Integrative Biomedical Informatics (headquartered at the University of Michigan).

Dr. Murphy’s leadership experience includes developing the first formal undergraduate program in computational biology in 1987 and founding the Merck Computational Biology and Chemistry program at Carnegie Mellon in 1999. These programs were important forerunners to the 2005 establishment of a Ph.D. program in computational biology in partnership with the University of Pittsburgh. Under his leadership, this program was chosen as one of only ten awardees through the HHMI-NIBIB Interfaces Initiative.

Selected Publications

FRIAS Project