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.
Broadly, my research interests include understanding how individuals think about their mental and physical health symptoms at both the implicit and explicit levels. I am interested in how implicit and explicit cognitions related to mental/physical health symptoms and diagnoses predict openness to treatment and treatment outcomes. My specific research projects focus on understanding how consumers of mental health interventions think about evidence-based care and what motivates individuals to receive treatment.
My research interests center on the question of how automatic cognitive processes contribute to otherwise rational people behaving in ways that can lead to serious clinical outcomes. Specifically, I am interested in how people choose between particular emotion regulation strategies in order to fit their current situational demands, especially in response to previous failures in emotion regulation attempts. I am excited to use mobile technology to better understand these dynamic patterns of flexible emotion regulation in anxious and depressed individuals.
I am interested in basic and translational research on cognition, emotion, emotion regulation, and transdiagnostic mechanisms of disorder and change. I seek to translate findings from basic science and to harness precise, multimethod experimental designs, such as cognitive bias modification paradigms, in order to elucidate both the processes that underlie emotional disorders and the implicit or explicit techniques for targeting those processes. A major goal of this work is to advance the development and dissemination of optimized, streamlined, and personalized interventions for the many who need them.
My research interests include the impact of daily state- and trait-level factors
(e.g., insomnia; social support) on fluctuations in suicidal thoughts and behaviors. To this end, I
employ mobile technology to assess intra- and inter-individual variability in affect and suicide risk.
Ultimately, I hope that this research will inform the development of personalized, just-in-time interventions
for individuals at risk for suicide.
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.
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.
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.
Section coming soon!
Section coming soon!