Robert F. Murphy, Ph.D.
Robert F. Murphy is the Ray and Stephanie Lane Professor of Computational Biology and Head of the Computational Biology Department in the School of Computer Science at Carnegie Mellon University. He also is Professor of Biological Sciences, Biomedical Engineering, and Machine Learning, and was a founding director of the Carnegie Mellon University-University of Pittsburgh Ph.D. Program in Computational Biology. He has been named Honorary Professor of Biology at the Albert Ludwig University of Freiburg, Germany, and a Fellow of the American Institute for Medical and Biological Engineering. Robert has served as President of the International Society for Advancement of Cytometry and as a member of the NIH National Advisory General Medical Sciences Council, and the NIH Council of Councils.
Robert’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 1980s. In the mid-1990s, his group pioneered the application of machine learning methods to high-resolution fluorescence microscope images depicting subcellular location patterns, and was the first to demonstrate superior machine performance in interpreting diverse patterns in biological images compared to visual interpretation. His current research interests include machine learning of image-derived models of cell organization, automated detection of protein location changes during oncogenesis, and active machine learning approaches to experimental biology.
Robert received an A.B. in Biochemistry from Columbia College and a Ph.D. in Biochemistry from the California Institute of Technology. He was a Damon Runyon-Walter Winchell Cancer Foundation Postdoctoral Fellow with Charles Cantor at Columbia University.