This page is currently under construction.
Collaborators
Dr. Elizabeth Cash
Dr. Elizabeth Cash is a co-investigator on the Predicting Recovery study. Dr. Cash is an Associate Professor and Director of Research at the University of Louisville's Department of Otolaryngology and Communicative Disorders. Her research is centered around understanding mechanisms linking psychological experience with effects on biology. She has extensive experience in research involving actigraphy and momentary ambulatory assessments.
Dr. Elizabeth Cash is a co-investigator on the Predicting Recovery study. Dr. Cash is an Associate Professor and Director of Research at the University of Louisville's Department of Otolaryngology and Communicative Disorders. Her research is centered around understanding mechanisms linking psychological experience with effects on biology. She has extensive experience in research involving actigraphy and momentary ambulatory assessments.
Dr. Karla Welch
Dr. Karla Welch is a co-investigator on the Predicting Recovery study. Dr. Welch is an Associate Professor of Electrical and Computer Engineering at the University of Louisville's J.B. Speed School of Engineering. Her research explores affective computing , machine learning, and the interaction of humans with technology, particularly in using technology to understand signals produced by humans. Dr. Welch has worked extensively with wearable devices to collect data to better understand physiological signals and what they mean.
Dr. Karla Welch is a co-investigator on the Predicting Recovery study. Dr. Welch is an Associate Professor of Electrical and Computer Engineering at the University of Louisville's J.B. Speed School of Engineering. Her research explores affective computing , machine learning, and the interaction of humans with technology, particularly in using technology to understand signals produced by humans. Dr. Welch has worked extensively with wearable devices to collect data to better understand physiological signals and what they mean.
Dr. Thalia Eley
Dr. Thalia Eley is a co-investigator on the Relapse Prevention study. Dr. Eley is a Professor of Developmental Behavioural Genetics at the Institute of Psychiatry, Psychology & Neuroscience at King’s College London and is director of the Emotional Development, Intervention, and Treatment (EDIT) Lab. Dr. Eley, alongside Dr. Kirsten Purves, developed the FLARe app, a fear conditioning smartphone application.
Dr. Thalia Eley is a co-investigator on the Relapse Prevention study. Dr. Eley is a Professor of Developmental Behavioural Genetics at the Institute of Psychiatry, Psychology & Neuroscience at King’s College London and is director of the Emotional Development, Intervention, and Treatment (EDIT) Lab. Dr. Eley, alongside Dr. Kirsten Purves, developed the FLARe app, a fear conditioning smartphone application.
Dr. Kirsten Purves
Dr. Kirsten Purves is a co-investigator on the Relapse Prevention study. She is a post-doctoral associate at the Institute of Psychiatry, Psychology and Neuroscience at King’s College, London. Dr. Purves, alongside Dr. Thalia Eley, developed the FLARe app, a fear conditioning smartphone application.
Dr. Kirsten Purves is a co-investigator on the Relapse Prevention study. She is a post-doctoral associate at the Institute of Psychiatry, Psychology and Neuroscience at King’s College, London. Dr. Purves, alongside Dr. Thalia Eley, developed the FLARe app, a fear conditioning smartphone application.
Dr. Sacha Epskamp
Dr. Sacha Epskamp is a consultant on the Predicting Recovery study. Dr. Epskamp is an Assistant Professor in psychological methods and psychometrics at the University of Amsterdam and the principal investigator at the Amsterdam Centre for Urban Mental Health. He has developed a number of R packages for advanced statistical methods and has written extensively about network analysis.
Dr. Sacha Epskamp is a consultant on the Predicting Recovery study. Dr. Epskamp is an Assistant Professor in psychological methods and psychometrics at the University of Amsterdam and the principal investigator at the Amsterdam Centre for Urban Mental Health. He has developed a number of R packages for advanced statistical methods and has written extensively about network analysis.
Collaborating Organizations
Project HEAL
Project HEAL is a non-profit dedicated to breaking down systemic, healthcare, and financial barriers to eating disorder healing. Project HEAL is a collaborator on our Barriers to Treatment Access Study.
Project HEAL is a non-profit dedicated to breaking down systemic, healthcare, and financial barriers to eating disorder healing. Project HEAL is a collaborator on our Barriers to Treatment Access Study.
