Post-Doctoral Fellows, Graduate Students, & Affiliated Graduate Students

Post-Doctoral Fellows

Angelica Morales, Ph.D.

Angelica Morales, Ph.D.

Angie obtained at B.A. in Human Biology from Stanford University and Ph.D. in Neuroscience from UCLA. After completing a postdoctoral fellowship at UCLA, Angie joined the Developmental Brain Imaging Lab in 2016. Angie is interested in using multimodal brain imaging to determine how neurobiological adaptations during the early stages of drug experimentation influence the emergence of substance use disorders. In particular, she is interested in how nicotine exposure during adolescence and emerging adulthood impacts future risk for substance use disorders.

Scott Jones, Ph.D.

Scott Jones

Scott graduated from Kansas State University in Manhattan, Kansas in 2012 with degrees in Biology and Psychology. Scott spent a year working as an alcohol/drug technician at a rehabilitation center in Topeka, Kansas before moving to Oregon and enrolling in the Department of Behavioral Neuroscience at OHSU. Scott is interested in understanding the differences in neurodevelopment in healthy and binge-drinking adolescents and whether these differences are pre-existing or related to alcohol intake.

Graduate Students

Dakota Kliamovich

Dakota Kliamovich

Dakota graduated from Whitworth University (Spokane, WA) in 2017 with degrees in Biology and Psychology. She is currently enrolled in the Department of Behavioral Neuroscience Ph.D. program at OHSU, and is interested in understanding the neural correlates of emerging psychopathology during adolescence.

Gareth Harman

Gareth Harman

Gareth received his degree in Biochemistry with a minor in Psychology from Winona State University in Winona, MN. Gareth has worked as a research assistant in ophthalmic genetics at the Casey Eye Institute and as a developer within the Developmental Brain Imaging Lab, both at OHSU. Gareth is a current National Library of Medicine Pre-doctoral Fellow studying Bioinformatics and Computational Biomedicine at OHSU. Gareth is interested in using machine learning to identify and predict risk factors of early alcohol and substance use from large-scale high-dimensional neuroimaging and behavioral data.