Edward C. Uberbacher received his B.A. degree in chemistry from the Johns Hopkins University in 1974, and PhD in physical chemistry from the University of Pennsylvania in 1979, with a thesis in the area of macromolecular crystallography. Starting in 1980, he did post-doctoral studies at the University of Pennsylvania Department of Biophysics (Johnson Foundation), and the Biology Division of Oak Ridge National Laboratory - University of Tennessee Graduate School of Biomedical Sciences, investigating the structure and function of genetic materials using crystallography, electron microscopy, and computational modeling. In 1985 he became an investigator at the Center for Small-Angle Scattering Research at ORNL, pursuing structural and dynamic studies of macromolecules in solution using neutron and X-ray scattering techniques and molecular modeling techniques. In 1987, he also became a Research Assistant Professor at the University of Tennessee Graduate School of Biomedical Sciences, and an investigator in the ORNL Biology Division, focusing on X-ray and neutron crystallography, scattering, and other biophysical methods and solved a crystal structure of the nucleosome core particle. In 1988 he became a consultant at the ORNL Engineering Physics and Mathematics Division to develop AI and high-performance computing methods for genomic DNA sequence analysis, and in 1991 joined the staff of the Computer Science and Mathematics Division as the Informatics Group leader, where he received an R&D 100 award for the development of the GRAIL DNA sequence analysis system. In 1997, he became the head of the Computational Biology Section in Life Sciences, and became a co-developer of the PROSPECT computational protein fold prediction system, which received an R&D 100 award in 1998. In 2003-2004, Dr. Uberbacher performed part-time duties as an IPA at the DOE Office of Biological and Environmental Research contributing extensively to the GTL computing roadmap. He is currently the Program Leader for Computational Biology and an Adjunct Professor in the Genome Science and Technology Program at the University of Tennessee. His scientific interests include the application of pattern recognition, artificial intelligence, concurrent processing techniques for computational biology, algorithm development for computational biology, computational genome sequence analysis, mass spectrometry analysis, and macromolecular structure, dynamics and docking.