Bethany Teachman is a Professor, and the Director of Clinical Training and the Director of Diversity and Inclusion at the University of Virginia in the Department of Psychology. She received her PhD from Yale University, and her BA from the University of British Columbia. Her lab investigates biases in cognitive processing that contribute to the development and maintenance of psychopathology, especially anxiety disorders. The lab also does work on technology-based assessments and interventions, including mobile monitoring of mood and emotion regulation and web-based interventions to reduce anxious thinking. She has had continuous funding from the National Institutes of Health and private foundations, and is an author on over 175 publications, including books on treatment planning and eating disorders.
Dr. Teachman has been awarded an American Psychological Association Distinguished Scientific Award for Early Career Contribution to Psychology, national mentoring awards, and is an Association for Psychological Science Fellow. Currently, Dr. Teachman is Chair of the Coalition for the Advancement and Application of Psychological Science and Director of the public web sites MindTrails and Project Implicit Health, and she is past president of the Society for a Science of Clinical Psychology. She received a Presidential Citation from the American Psychological Association in 2019 for “her leadership in advancing evidence-based practice in psychology and in applying technology to mental health research and practice.”
I am interested in looking at the effects of mediators on the development of mood disorders, particularly the effects of personality traits including perfectionism and resilience, and studying these developments over time and during major developmental periods. Further to this, I am interested in well-being research – what contributes to life satisfaction, and the extent that well-being moderates the onset of anxiety and depression.
Broadly, I am interested in how people respond to uncertain, volatile environments, and how these responses relate to anxiety. More specifically, my research focuses on how aberrant reinforcement learning processes contribute to maladaptive behaviors, cognitive biases, and emotional reactions in anxiety disorders, with a particular interest in social anxiety disorder. I hope to use this research to develop novel interventions targeting specific cognitive mechanisms to alleviate the burden of mental illness. I also take a large-scale, population approach to study mental illness stigma, with the goal of advancing our understanding of factors that contribute to this stigma and consequences of this stigma for people experiencing mental illness.
Katharine Daniel's body of research uses mobile phone technology and time series methods to investigate the real-world effects of anxiety and emotion dysregulation. She leverages actively and passively collected data to study the effectiveness of online interventions and of flexible emotion regulation strategy use in daily life. Katharine is a Jefferson Scholars fellow, a LIFE fellow in the International Max Planck Research School on the Life Course, a member of the Raven Society, a recipient of the U.Va. GSAS Research and Professional Development Fund, a U.Va. GSASC Fall 2020 Research Grant Winner, and the recipient of the U.Va. Psychology Department’s 2021 Rebecca Boone Memorial Award for Excellence in Teaching. Katharine received a B.A. in psychology and management & society from the University of North Carolina at Chapel Hill and an M.A. in clinical psychology from U.Va.
Jeremy Eberle is a PhD candidate in clinical psychology also pursuing a minor in
quantitative psychology. His research seeks to elucidate the cognitive, affective, and behavioral processes
that maintain emotional disorders and the pathways by which psychological treatments can change those processes.
By identifying mechanisms of disorder and change, he hopes to advance the development and dissemination of
optimized, streamlined, and personalized interventions. He also has interests in methodology and open science.
Jeremy is a member of the Raven Society and the department's student representative for the Psychological
Clinical Science Accreditation System. He received a BS in psychology and BA in philosophy from Tulane
University and an MA in clinical psychology from the University of Virginia.
My program of research seeks to better understand proximal risk factors for suicide
and other mental health problems, with an emphasis on problematic social media use and sleep disturbance. As a
secondary interest, I also aim to understand contexts in which individuals struggle to regulate their emotions
in daily life. I am currently funded by the National Science Foundation’s Graduate Research Fellowship Program.
I am interested in researching how people with emotional disorder symptoms (e.g., anxiety, depression) experience and react to distressing situations. I plan to leverage smartphone technology to further our understanding of how these processes unfold in daily life. A related research interest is to investigate the extent to which these processes (e.g., cognitive biases, emotion regulation) are common vs. different across highly comorbid conditions. I hope this work will contribute to the development of an evidence-based system that guides our understanding and treatment of mental illness.
I am interested in the cognitive and neural profile underlying the onset and maintenance of symptoms related to mood and anxiety disorders, specifically the cognitive and neural profiles involved in dysphoria, intrusive thoughts and rumination, and sleep disturbances. I am also interested in exploring ways to take existing treatment modalities and make them more culturally relevant for under-treated demographic groups.
I am interested in researching the effective education of anxiety-based
disorders and principles of CBT through gamification, and the mediation of symptoms through
applying that education in personalized digital assessments and interventions.
My research interests center on the question of how to effectively disseminate evidence-based psychological treatments (EBPTs), with a particular focus on populations who have limited resources. Some of my interests include harnessing technology to administer novel interventions to individuals who not access one-on-one therapy, understanding attitudes and preferences towards EBPTs, and identifying and targeting existing barriers to psychological treatment. My ultimate goal is to reduce the treatment gap and increase access to evidence-based mental health care.
I am interested in examining anxiety and trauma-related disorders as complex dynamic systems comprised of biopsychosocial factors. I use experimental paradigms
in combination with real-time data collection methods (e.g., passive sensing technology, ecological momentary assessment) to elucidate how these systems may behave under short-term, controlled
conditions and over longer periods of time in the real world. I hope this work will advance our understanding of the mutually reinforcing interactions amongst components of complex systems that
produce and reinforce states of mental disorder so that we may ultimately improve treatment.
My research interests are all related to dynamic systems in psychology. More specifically, I am interested in quantifying symmetry in dyadic time series and flexibility in responses for Ecological Momentary Assessment data, discovering new ways to model nonlinear systems in Structural Equation Modeling, and implementing information theoretic approaches in new psychologically-relevant ways.