Gully studied physics as an undergraduate at Imperial College in London, when, half-way through a early-morning Friday lecture on detectors for sub-atomic particles, he had an epiphany that he wanted to study how the brain works. He started a Ph.D. at Oxford, only to find that the theoretical foundations of neuroscience were not the stringent, mathematically-defined coda that was the norm in physics. Subsequently, he began work on building knowledge engineering systems for biological systems, specifically targeting neuroanatomical questions. After completing his D.Phil. in 1997, he came to USC to work in the neuroanatomy laboratory of Professor Larry Swanson, building software solutions such as the NeuroScholar project and NeuARt II neuroanatomical viewer. In 2006, he moved to the Information Sciences Institute in Marina Del Rey to develop systems for Biomedical Knowledge Engineering: finding novel ways of applying cutting-edge AI technology from Computer Science to biomedical data.
Gully's main goal in his career is really to transform the way we work with scientific knowledge so that scientific discovery becomes commonplace, powerful and easy. He is active in assisting in the development of the field of 'Discovery Informatics ' as a specific strategic approach for making this happen.
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