Paul Sharp

Fellow
Max Planck UCL Centre for Computational Psychiatry and Ageing Research

Curriculum Vitae

  • BA in Psychology and Political Science with High Honors, 2013, Temple University Honors College

  • MA in Psychology, 2016, University of Illinois Urbana-Champaign, concentration in Clinical Psychology
  • PhD in Psychology and Neuroscience, 2019, University of North Carolina at Chapel Hill, concentration in Developmental Neuroscience

Research interests

  • Applying and extending computational models of planning and decision making to explain elevated estimates of risk and repetitive thinking in pathological worry
  • Testing how algorithms of dysfunction involved in various anxiety disorders are implemented neurobiologically using hemodynamic and electromagnetic imaging techniques   

Selected publications

Sharp, P.B., & Eldar, E. (2019). Computational models of anxiety: Nascent efforts and future directions. Current Directions in Psychological Science, 28(2), 170–176. https://doi.org/10.1177/0963721418818441

Thomas, J. G., & Sharp, P. B. (2019). Mechanistic science: A new approach to comprehensive psychopathology research that relates psychological and biological phenomena. Clinical Psychological Science, 7(2), 196–215. https://doi.org/10.1177/2167702618810223

Sharp, P. B., & Telzer, E. H. (2017). Structural connectomics of anxious arousal in early adolescence: Translating clinical and ethological findings. NeuroImage: Clinical, 16, 604–609. https://doi.org/10.1016/j.nicl.2017.09.012

Sharp, P.B., Miller, G.A., Heller, W. (2015). Transdiagnostic dimensions of anxiety: Neural mechanisms, executive functions, and new directions, International Journal of Psychophysiology, 98(2), 365-377. https://doi.org/10.1016/j.ijpsycho.2015.07.001
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