Teague Henry holds a dual appointment in the School of Data Science and in the Department of Psychology. His research focuses on developing new statistical techniques for modeling network and dynamical systems data, with applications to personalized medicine, neuroimaging and predictive modeling.
Prior to his work in higher education, Teague worked as a Statistician for the 3-C Institute for Social Development, where he analyzed data and consulted for the company. After earning his PH.D. in Psychometrics and Quantitative Psychology, Henry worked as a Postdoctoral Researcher at the University of North Carolina, Chapel Hill, followed by a position as a Postdoctoral Scholar at the University of Pittsburgh. In addition to his main focus on statistical methods for network data, he is also interested in better understanding the neural correlates of neurodevelopmental disorders and how to design personalized interventions for psychological disorders.
Teague holds a PH.D. in Psychometrics and Quantitative Psychology from the University of North Carolina, Chapel Hill. He also earned his M.S. in Statistics from the University of North Carolina, Chapel Hill and his B.S. in Psychology from the University of Washington.
