TUTORIAL SESSION

Machine Learning Approaches to Information Extraction from Text and Images in Biomedical Journal Articles

Prof. Robert F. Murphy
Carnegie Mellon University, USA
murphy@cmu.edu

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Robert F. Murphy is the Ray and Stephanie Lane Professor of Computational Biology and Director (Department Head) of the Lane Center for Computational Biology in the School of Computer Science at Carnegie Mellon University. He also is Professor of Biological Sciences, Biomedical Engineering, and Machine Learning. He is a Fellow of the American Institute for Medical and Biological Engineering, and received an Alexander von Humboldt Foundation Senior Research Award in 2008. Dr. Murphy has co-edited two books and three special journal issues on cell imaging, and has published over 180 research papers. He is Past-President of the International Society for Advancement of Cytometry, was named as the first External Senior Fellow of the School of Life Sciences in the Freiburg (Germany) Institute for Advanced Studies, and is a member of the National Advisory General Medical Sciences Council.
Dr. Murphy’s career has centered on combining fluorescence-based cell measurement methods with quantitative and computational methods. In the mid 1990’s, his group pioneered the application of machine learning methods to high-resolution fluorescence microscope images depicting subcellular location patterns. His current research interests include image-derived models of cell organization and active machine learning approaches to experimental biology.

References

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