Lab Members





Bethany Teachman
Lab Director & Professor of Psychology

Bethany Teachman is a Professor, and the Director of Clinical Training and Co-Director of Diversity, Equity and Inclusion at the University of Virginia in the Department of Psychology. Her lab investigates biased thinking that contributes 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 digital interventions to reduce anxious thinking. She received her PhD from Yale University, and her BA from the University of British Columbia. She has had continuous funding from the National Institutes of Health and private foundations, and has more than 250 publications, including the books Introduction to clinical psychology: Bridging science and practice and Treatment planning in psychotherapy: Taking the guesswork out of clinical care. Dr. Teachman is Director of the public web sites MindTrails (https://mindtrails.virginia.edu/), a web-based research infrastructure that has offered digital interventions to reduce anxious thinking to thousands of visitors around the world, and Project Implicit Health (www.projectimplicithealth.com), an educational web site that allows visitors to assess their implicit associations tied to mental and physical health topics.

Dr. Teachman has been awarded an American Psychological Association Distinguished Scientific Early Career Award, multiple national mentoring awards, and she is a Fellow of multiple associations, including the American Association for the Advancement of Science. Dr. Teachman serves on the Board for the Society for Digital Mental Health, she was the inaugural Chair of the Coalition for the Advancement and Application of Psychological Science, and she received a Presidential Citation from the American Psychological Association.






Katharine Daniel
Graduate Student, On Internship at Massachusetts General Hospital/Harvard Medical School

Katharine Daniel, MA, is a PhD candidate in clinical psychology with a secondary concentration in quantitative psychology at the University of Virginia. While at UVA, Katie was a graduate student researcher in the Department of Psychology’s Program for Anxiety, Cognition, and Treatment Lab and in the School of Medicine’s Department of Family Medicine and Center for Behavior Health and Technology. She has been supported by a PEO Scholar Award, a Jefferson Scholars Foundation Fellowship, and an International Max Planck Institute for Human Development Fellowship. She is currently completing her clinical internship at Massachusetts General Hospital/Harvard Medical School on the CBT track at the Center for Digital Mental Health and the Center for OCD and Related Disorders. Katie’s research uses real-time monitoring and intensive longitudinal analytic methods to understand the real-world effects of anxiety and emotion dysregulation across changing contexts to inform the development of technology-assisted interventions. She is particularly interested in leveraging actively- and passively-sensed data to personalize the content and timing of mHealth interventions.



Jeremy Eberle
Graduate Student, On Internship at Stony Brook University/Stony Brook Medicine

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 outgoing 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. He is currently on clinical internship at the Stony Brook University Consortium Internship Program and working in the Lab for Scalable Mental Health at Northwestern University.

Website: jeremyeberle.com
Twitter: @JeremyWEberle



Noah French
Graduate Student, 2nd Year

My research focuses on using real-time monitoring and digital phenotyping to understand the everyday experiences of individuals with anxiety and related disorders, and to improve our prediction and treatment of these disorders. I hope to use this research to develop novel digital mental health interventions that use passive sensing and prediction to deliver treatment when it is most beneficial. I am also interested in understanding the systemic factors and everyday minority stressors that contribute to higher rates of mental illness among transgender, gender diverse, and LGBTQ+ individuals.




Ilana Ladis
Graduate Student, 5th Year

I use a mixed-methods approach to develop scalable digital mental health interventions. As a secondary line of research, I am interested in understanding proximal risk factors for suicide and other mental health problems, with an emphasis on problematic social media use and sleep disturbance. I am currently funded by the National Science Foundation’s Graduate Research Fellowship Program.


M. Max Larrazábal
Graduate Student, 5th Year

Broadly speaking, I am interested in understanding how people with emotional disorder symptoms (e.g., anxiety, depression) experience and react to distressing situations. My research leverages ecological momentary assessment, lab-based tasks, and qualitative interview methods to better understand how individuals experience emotions (e.g., anxiety) and attempt to regulate them. A related line of work uses passive sensing (i.e., via smartwatches) to detect social contexts and social anxiety, which will ultimately inform the development and deployment of just-in-time adaptive interventions. I hope that my work will allow us to refine our understanding of how individuals experience emotions in-the-moment, how they regulate those emotions, and how we can best support them in making effective emotion regulation choices in their daily lives.



Taylor Myers

Taylor Myers
Graduate Student, 1st Year

My research interests encompass the use of mobile technologies (i.e., smartphones, wearable sensors) to better understand and treat emotional disorders such as anxiety and depression. I hope to identify objective markers of symptomatology in real-world contexts and leverage this data to develop and deliver just-in-time interventions via smartphones. I have a particular interest in using mobile interventions to make mental health care more accessible to those with limited resources and in adapting interventions for Latinx and youth populations.

Kaitlyn Petz

Kaitlyn Petz
Project Coordinator & Lab Manager

My research interests include ways to adapt digital and mobile mental health interventions for anxiety and mood disorders to be more widely used and accepted, including alongside active and passive sensing techniques in developing just-in-time adaptive interventions that can be administered when and where people need them most. Additionally, I am interested in what the short-term benefits of these interventions are, looking at how symptoms can be alleviated in-the-moment.


Allie Silverman
Graduate Student, On Internship at McLean Hospital

Allie Silverman’s research focuses on testing novel approaches to disseminate evidence-based mental health services, with the goal to increase access to effective care particularly among communities who have limited access to high-quality options. To do this, she has tested direct-to-consumer marketing approaches to increase demand for services. She is also interested in developing and evaluating digital mental health interventions for marginalized populations, and examining contexts in which these tools can be implemented to reach more people.


Emma Toner
Graduate Student, 4th Year

My research leverages tools from complex systems science and computational modeling to psychological problems like anxiety and loneliness. In particular, I am interested in identifying the dynamic interactions among psychological and social factors that contribute to these problems. To do so, I use experimental paradigms, real-time data collection methods (e.g., passive sensing technology; ecological momentary assessment), and computational modeling to iteratively develop, formalize, test, and refine psychological theories and examine how psychological processes unfold across timescales and contexts. I hope this work will advance our understanding of the mutually reinforcing interactions among components of complex systems that produce and reinforce states of mental disorder so that we may ultimately improve treatment.




Emma Wolfe
Graduate Student, 2nd Year

I pursue two primary lines of research: the first is concerned with improving dissemination of and engagement with evidence-based digital mental health tools in community and health care settings. My research in this area explores collaborative and integrated care models, using qualitative and mixed methods that center patient experience and seek to understand real-world implementation hurdles. Secondly, I am interested in discerning the impact of minority stress on cognitive biases in anxious LGBTQ+ individuals. I hope to apply technology such as EMA (ecological momentary assessment) to better understand the day-to-day stressors impacting this population, with the ultimate goal of synthesizing scalable digital interventions to improve anxiety in LGBTQ+ individuals across the lifespan.


Former Graduate Students




Primary

Jessica Beadel

Miranda Beltzer

Elise Clerkin

Meghan Cody

Christina Emeh

Karl Fua

Jeff Glenn

Tynessa Gordon

Gena Gorlin

Jennifer (Simpson) Green

Joshua Magee

Meg Reuland

Jena Saporito

Shannan Smith-Janik

Shari Steinman

Alexandra Werntz Czywczynski



Secondary

Sarah Coe-Odess

Erin Maresh

Nauder Namaky

Sam Portnow


Former Post-Docs


Philip Chow

Alexander Daros

Julie Ji

Ann Lambert

Craig Marker

Fred Smyth

Alexandra Werntz Czywczynski


Former Lab Staff


Project Coordinators

Henry Behan

Claudia Calicho-Mamani

Nauder Namaky

Julia Schildwachter

Sarah Tolman

Alexandra Werntz Czywczynski

Diheng Zhang



Statistics Consultants

Yueqin (Jean) Hu

Dan Martin

Joey Meyers

Bobby Moulder

Gus Sjobek


Former Visiting International Scholars


Nicola Hohensee

Wilson Melo

Bogdan Tulbure