Dr. Sean Kelley is a postdoctoral researcher in human-AI interaction, working with Christoph Riedl. He recently earned his PhD in Computational Psychiatry from Trinity College Dublin, where his research focused on predicting and understanding the causes of mental health conditions. Dr. Kelley's current research interests center on how AI can be used to improve decision-making and collective intelligence, particularly in healthcare settings.

Education

  • BS Neuroscience and Behavioral Biology, Emory University
  • MS Medical Neuroscience, Charité – Universitätsmedizin Berlin
  • PhD Computational Psychiatry, Trinity College Dublin

Selected Publications

  • Cusack, C.E., Vanzhula, I.A., Sandoval-Araujo, L., Pennesi, J-L., Kelley, S.W., & Levinson, C.A. (In Press). Are Central Eating Disorder Network Symptoms Sensitive to Item Selection and Sample? Implications for Conceptualization of Eating Disorder Psychopathology from a Network Perspective. Journal of Psychopathology and Clinical Science.
  • Kelley, S. W., Fisher, A. J., Lee, C. T., Gallagher, E., Hanlon, A. K., Robertson, I. H., & Gillan, C. M. (2023). Elevated emotion network connectivity is associated with fluctuations in depression. Proceedings of the National Academy of Sciences, 120(45), e2216499120.
  • Lee, C. T., Kelley, S.W., Palacios, J., Richards, D., & Gillan, C. M. (2023). Estimating the prognostic value of cross-sectional network connectivity for treatment response in depression. Psychological Medicine, 1-10.
  • Kelley, S. W., Mhaonaigh, C. N., Burke, L., Whelan, R., & Gillan, C. M. (2022). Machine learning of language use on Twitter reveals weak and non-specific predictions. NPJ digital medicine, 5(1), 1-13.
  • Kelley, S. W., & Gillan, C. M. (2022). Using language in social media posts to study the network dynamics of depression longitudinally. Nature communications, 13(1), 1-11.

Selected Presentations

  • Kelley, S.W. (2023, March) Using Social Media as a Novel Approach for Constructing Personalised Depression Networks. International Convention of Psychological Science. Brussels, Belgium 
  • Kelley, S.W. (2023, March) Using Social Media as a Novel Approach for Constructing Personalised Depression Networks. Alan Turing Institute Data Science for Mental Health Interest Group 
  • Kelley, S.W. (2022, March) Is the Connectivity of Personalised Affect Networks Associated with Increased Propensity for Depression? R15 Grant (“Personalized Networks and Sensor Technology Algorithms of Eating Disorder Symptoms Predicting Eating Disorder Outcomes”) Interest Group at University of Louisville 
  • Kelley, S.W. (2021, December) The Network Theory of Depression. Predictive Brain Health Modelling Workshop Group. Trinity College Dublin 
  • Kelley, S.W. (2020, December). Within-Subject Changes in Network Connectivity Occur During an Episode of Depression: Evidence from a Longitudinal Analysis of Social Media Posts. Conference on Complex Systems. Virtual Conference