Morris specializes in using kinetic modeling and image processing to extract physiological information from dynamic PET images. Current projects include modeling texture analysis in non-small cell lung cancer and developing novel kinetic modeling techniques for studying dyskinesias in Parkinson's disease. His work involves applying principles of functional connectivity and machine learning to analyze dopamine movies in the context of addiction behavior, and exploring new imaging targets for depression and alcoholism. The Morris group focuses on refining the mathematical and statistical aspects of techniques that lead to minute-by-minute 'movies' of neurotransmitter release in the brain. This research has led to significant developments, including a paper demonstrating sex differences in brain responses to smoking among male and female smokers. Morris has held a postdoctoral fellowship at Massachusetts General Hospital and has earned advanced degrees from Case Western Reserve University and the Massachusetts Institute of Technology in Biology and Chemical Engineering. His research interests also encompass Positron Emission Tomography and Computed Tomography, with a strong emphasis on sensory receptor cells.