Our Team - Leaders in Mental Health - The Center for Digital Mental Health

Our Team

Our vibrant, multidisciplinary team is comprised of over 90 active members from all stages of training and faculty appointments.

Leadership

Sabine Wilhelm, PhD

Sabine Wilhelm, PhD, is a Professor at Harvard Medical School (HMS) and Chief of Psychology as well as Director of the Center for OCD and Related Disorders (CORD) at Massachusetts General Hospital (MGH). She is also the Director of the Center for Digital Mental Health in Psychiatry at MGH. Dr. Wilhelm is recognized as a leading researcher in obsessive-compulsive and related disorders. Her recent research focuses on the use of cutting-edge technology to improve and personalize mental health care for a range of mental health concerns. Dr. Wilhelm has published 342 papers and chapters, as well as nine books. She has also given around 300 talks on these subjects, locally, nationally, and internationally. Dr. Wilhelm has mentored more than 50 junior investigators in the field. She is currently working on the development and testing of smartphone-based treatments for OCD, depression, and body dysmorphic disorder. Her ultimate goal is to use technology-based interventions to enhance global access to high-quality mental health interventions.

Keywords: Digital therapeutics; Smartphone mental health apps;  Virtual reality

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Jennifer Greenberg, PsyD

Jennifer L. Greenberg is an assistant professor at Harvard Medical School and a psychologist at Massachusetts General Hospital. Dr. Greenberg’s research has focused on developing and testing treatments for obsessive compulsive and related disorders and optimizing treatment by understanding how and for whom treatments work. More recently, Dr. Greenberg has focused on the use of novel digital solutions to enhance access to effective mental health care. She is project director and co-investigator on a series of industry collaborations to develop and test CBT smartphone apps to treat a broad range of mental health conditions.

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Hilary Weingarden, PhD

Hilary Weingarden is an assistant professor at Harvard Medical School and a psychologist at Massachusetts General Hospital. Dr. Weingarden conducts research focused on leveraging technology to enhance assessment and treatment of mental illness. She is principal investigator of an NIMH-funded award using smartphone sensor data to predict changes in emotions and acute risk for suicidal thoughts and substance use in a high-risk psychiatric sample. She has served as project director and co-investigator on a series of industry collaborations to develop cognitive behavioral therapy smartphone apps to treat mental health conditions.

Keywords: Smartphone-delivered CBT; Ecological momentary assessment; Sensor-based passive assessment

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Emily Bernstein, PhD

Emily Bernstein’s research focuses on developing alternative and more scalable approaches for the prevention and treatment of anxiety disorders, depression, and related concerns, including exploring exercise and other lifestyle interventions as well as more efficient cognitive behavioral therapies. She believes that leveraging digital tools, including smartphones and wearable devices, is essential to bringing evidence-based treatments to more people. Dr. Bernstein is also interested in using technology to better understand mechanisms of treatment effects in order to optimize these approaches.

Keywords: Cognitive Behavioral Therapy; Physical Activity; Skills Use

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Steering Committee Members

Kate Bentley, PhD

Kate Bentley’s work is focused on using mobile technologies to monitor and intervene with individuals at elevated risk of self-injurious thoughts and behaviors. Dr. Bentley is currently using smartphones and sensors to improve short-term prediction of suicidal behavior among recently discharged psychiatric inpatients. She is also delivering real-time interventions aimed to promote cognitive-behavioral emotion management skills use among individuals at high risk for suicide and college students reporting emotional distress.

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David Eddie, PhD

David Eddie’s research seeks to better understand the psychological and psychophysiological causes and conditions that lead to people becoming addicted to alcohol and other drugs, and how these factors can also maintain addiction. He uses this knowledge to develop and study novel, technology-based treatments for substance use disorder.

His current NIAAA and NIDA funded research projects include: 1) A study seeking to better understand affective and psychophysiological factors that heighten addiction relapse risk with the aim of developing cutting-edge, mobile health interventions driven by wearable biosensors. 2) A randomized controlled trial of Heart Rate Variability Biofeedback for substance use disorder utilizing wearable biosensors. 3) A project assessing the efficacy of a novel mutual-help addiction recovery program based on physical activity known as The Phoenix.

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Bettina Hoeppner, PhD

Bettina Hoeppner’s digital mental health research focuses on patient-facing, mHealth technologies that support persons in overcoming problematic substance use.  The emphasis of her work has been on smoking cessation mHealth technologies, where she has implemented and tested text-messaging and smartphone app approaches for smoking cessation and have examined the mechanisms by which they confer benefit.  Currently, Dr. Hoeppner and her team are conducting a proof-of-concept randomized controlled trial to evaluate Version 3 of the positive psychology smartphone app they developed to support nondaily smokers in quitting smoking; they are also adapting this app for people with HIV who smoke.

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Felipe Jain, MD

Felipe Jain studies psychotherapy delivery to and digital phenotyping of older adults with depressive symptoms, with a particular emphasis on mindfulness and guided imagery for family dementia caregivers. Dr. Jain is creating a smartphone mobile application platform, CareDoc, that flexibly enables the delivery of psychotherapy instructions, provides moderated group chat features, obtains ecological momentary assessments and surveys with push notifications, and collects passive smartphone sensor data. His goal is to empower mental health researchers to take advantage of cutting edge technologies including artificial intelligence and machine learning that automate therapy delivery and feedback to patients and underpin the next generation of digital therapeutics.

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Thomas McCoy, MD

Thomas McCoy’s primary focus is on development of real world evidence through secondary use of data arising from routine care, e.g., electronic health record or insurance claims data. Within psychiatry, Dr. McCoy is particularly interested in continuous multidimensional phenotypes developed through natural language processing.

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Paola Pedrelli, PhD

Paola Pedrelli conducts studies examining how to leverage sensors for the assessment and treatment of depression. Dr. Pedrelli is the PI of an active R01 on the development of an objective, passive, sensor-based, AI algorithm able to measure depressive symptom severity. He is the recipient of a Focus Award from the American Foundation for the Prevention of Suicide (AFSP) examining the long-term effectiveness of ketamine treatment for suicide ideation and behavior among individuals with severe depression. One aim of this project is to use machine learning to predict outcome.

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Select Faculty

Amanda Baker, PhD

Amanda Baker’s lab is using EMA and wearable sensors to establish the intra-individual role of psychophysiological and cognitive-behavioral mechanisms in the maintenance of Panic Disorder. They are also using these technologies during exposures in PTSD to map patients’ implementation of therapeutic skills in daily life and their clinical impact.

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Abigail Batchelder, PhD

Abigail Batchelder is currently leading a pilot randomized control trial pairing a virtually delivered psycho-behavioral intervention with incentivized directly observed antiretroviral therapy via the emocha app for people who inject drugs living with HIV. Dr. Batchelder is also conducting a text-enhanced therapy intervention to reduce internalized stigma and shame for men who have sex with men living with HIV and substance use disorders who are sub-optimally engaged in HIV care. Additionally, she is completing a multimodal measurement study to assess stigma-related emotions using machine learning to inform future assessment and intervention strategies.

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Joan Camprodon, MD, MPH, PhD

In Dr. Camprodon’s lab, they use digital biomarkers, including passive and active smart phone, wearables, voice and facial analysis and assessments “in the wild” to characterize neuropsychiatric populations, and in particular support the development of individualized neuromodulation therapies.

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Kyle Faust, PhD, MA

Kyle Faust is currently working to acquire funding to develop an app to treat PTSD. His hope would be to eventually tailor treatments for specific patient populations and incorporate treatment for other co-morbid diagnoses.

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Lauren Fisher, PhD

Lauren Fisher is conducting an NIH-funded study of telehealth-delivered cognitive behavioral therapy for depression that has been adapted for individuals with a history of traumatic brain injury. The intervention incorporates continuous use of a Fitbit activity tracker. Dr. Fisher is also involved in another study that aims to integrate daily Fitbit activity tracking into traditional cognitive behavioral therapy for depression in order to optimize treatment outcomes.

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Richard Fletcher, PhD

Richard Fletcher develops mobile apps, machine learning algorithms, and wearable sensors to monitor and predict affect and behavior. Dr. Fletcher currently works with the MGH Recovery Research Institute to develop tools to monitor and modulate affect and stress in people recovering from addiction. He also holds an academic appointment at MIT as are search scientist, building sensors and algorithms for health diagnostics.

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Brynn Huguenel, PhD

Dr. Brynn Huguenel’s research focuses on developing and testing smartphone interventions for mental health disorders such as anxiety and depression Dr. Huguenel has contributed to randomized control trials examining the effectiveness of smartphone apps that deliver cognitive-behavioral and mindfulness skills in improving mental health. She is also interested in understanding how user engagement with digital interventions can be best optimized and supported.

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Adam Jaroszewski, Ph.D.

Dr. Adam Jaroszewski’s work focuses on designing and testing scalable digital interventions for reducing suicidal thoughts and behavior. This includes automated text-based risk detection, nudge-style interventions that increase help seeking during mental health crises, and bibliotherapy to increase perceived connectedness and hope.

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David Mischoulon, MD, PhD

Dr. Mischoulon’s work focuses on wearables for characterizing treatment response, interventions for caretakers of patients with dementia, and suicide prediction.

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Giselle Perez-Lougee, PhD

Dr. Perez-Lougee focuses on developing and testing a mobile app to improve survivorship care among colorectal cancer survivors.

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Jordan Smoller, MD, ScD

Dr. Smoller and his team’s research mission is to integrate research and clinical practice to enable more accurate risk prediction, targeted prevention, precise diagnosis and effective treatments for psychiatric disorders.

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Craig Surman, MD

Dr. Surman’s research is focused on personalized remote psychopharmacology monitoring using digital technology

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Louisa Sylvia, PhD

Dr. Louisa Sylvia recently completed two RCTs examining the comparative effectiveness of four online, psychosocial interventions (that we developed) to increase exercise and improve overall wellness, respectively. She is currently developing a stepped-care program with her colleagues for bipolar disorder which leverages a learning healthcare approach and digital mental health interventions. Dr. Sylvia has three ongoing studies to (1) examine a hybrid exercise program for older adults leveraging a digital health platform, (2) compare synchronous, virtual yoga to hybrid behavioral activation for depression, and (3) develop virtual, hyrbid, and in-person resilience programing for healthcare workers at community mental health centers.

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Rachel Vanderkruik, PhD, MSc

Rachel Vanderkruik is currently conducting a pilot test of an app called “The Guardians” (developed by colleagues at the MIT Media Lab) among pregnant women with elevated depressive symptoms. The Guardians is grounded in Behavioral Activation (BA) principles and leverages gamification features to encourage user engagement. Her previous digital mental health research experience has included, 1) a perinatal depression screening tool that uses smartphone technology, 2) an online mindfulness-based cognitive therapy (MBCT) intervention for depression, and 3) internet-based CBT (i-CBT) for depression and anxiety.

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Post-Doctoral Fellow

Sarah Coe-Odess, PhD

Dr. Sarah Coe-Odess is currently involved in research on two digital health programs (one smartphone cognitive behavioral therapy app and one web-based health and well-being program). The study aims to make OCD treatment more widely accessible.

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Geneva Jonathan, PhD

Dr. Geneva Jonathan has worked on teams that have developed, tested and implemented smartphone interventions for severe mental illness (bipolar disorder, major depression and schizophrenia). She is currently interested in the role of human support in enhancing user engagement and overall effectiveness of these interventions. Most recently, she has explored how smartphone interventions and adjunctive human support have impacted behavior health change in individuals with bipolar disorder.

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Clinical Fellow (Intern)

Katharine Daniel, MA

Katherine Daniel, MA investigates the effectiveness of a web-based interpretation bias training to reduce anxiety through a sequential, multiple-assignment randomized trial; Developing novel analytic methods to analyze repeated measures data; Determining the relative utility of adding minimal human support to a robust, internet-delivered treatment for insomnia.

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Shirley Wang, A.M.

Shirley Wang is a PhD candidate at Harvard University and is completing her predoctoral clinical internship with the Center for Digital Mental Health and the Center for Precision Psychiatry at Massachusetts General Hospital. Shirley conducts computational clinical science research to advance our understanding, prediction, and prevention of suicide, nonsuicidal self-injury, and eating disorders. She uses data from smartphones and wearables to develop machine learning models for risk prediction, and to inform formal mathematical modeling of psychopathology as complex dynamical systems. Starting in Fall 2024, Shirley will join the Department of Psychology at Yale University as an Assistant Professor.

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Residents

S. Trevor Taylor, MD, MPH

As a trainee, Trevor Taylor is involved in projects focused on digital phenotyping, predictive modeling, and app-based interventions for co-occurring psychiatric conditions and substance use disorders. His aim in this work is to help develop effective digital tools and implementation strategies that meaningfully enhance telepsychiatry platforms and improve access to quality care in rural areas.

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Statisticians & Computer Scientists

Susanne Hoeppner, PhD, MApStat

Susanne Hoeppner is involved with two lines of mHealth research that deal with app treatment efficacy and app user engagement. First, she works with Dr. Bettina Hoeppner’s team on the development of an app-based smoking cessation treatment that uses a positive psychology approachand on its adaptation to underserved sub-populations of people who smoke. Second, Dr. Hoeppner works with Dr. Sabine Wilhelm’s team on testing app-based psychological treatments for mental health disorders such as body dysmorphic disorder, obsessive compulsive disorder, and major depression. Both lines of research show promise for making evidence-based treatment more accessible.

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Dalton Klare, MA, MS

Dalton is a Data Manager and Analyst at Massachusetts General Hospital and is currently involved in smartphone app research aimed at improving mental health for people with OCD, BDD, and depression. His work focuses on database building and management for clinical research studies, including those involving digital mental health interventions. He is passionate about ensuring data quality and data integrity in clinical trial research.

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Administration

Barbara Rosemberg, MHA

Barbara holds a Master of Healthcare Administration from Suffolk University, which she received in 2014. She graduated from the University of Massachusetts, Amherst in 2006 with a B.A. in Psychology.  Barbara has over 15 years of management experience and has worked as a Program Manager at the Center for OCD and Related Disorders (CORD) at MGH since 2009. She is now the Program Director at CORD and the Center for Digital Mental Health (CDMH).  Barbara has been with CDMH since the Center began as a think tank in 2019 by Dr. Sabine Wilhelm.

 

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Clinical Research Coordinators

Caroline Armstrong, B.A.

Caroline Armstrong holds a B.A. in Psychology and English from Duke University. Prior to joining MGH, she worked in research on mindfulness-based interventions for anxiety disorders. She currently coordinates a study led by Dr. Hilary Weingarden that uses digital phenotyping to better understand risk factors for substance misuse and suicidal thoughts among people with body dysmorphic disorder. She also serves as a virtual coach for participants in a trial of app-based cognitive-behavioral therapy for OCD.

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Simay Inci Ipek, B.A.

Simay Inci Ipek graduated from the University of Pennsylvania with a BA in Neuroscience and Psychology. She previously worked on testing the efficacy of a self-help CBT mobile app for irritable bowel syndrome (IBS). At MGH, she works as a clinical research coordinator for the Digital Interventions for OCD study.

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Peyton Miyares, B.A.

Peyton Miyares graduated with Honors in Psychology from the University of North Carolina at Chapel Hill. Her previous work in an anxiety and stress lab during undergrad sparked her interest in accessibility interventions for mental health, leading her to work on numerous digital mental health studies at the Center for OCD and Related Disorders. Peyton is interested in furthering her career in OCD research and clinical work by one day earning her PhD in clinical psychology.

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Rachel Quist, B.A.

Rachel Quist earned her BA in psychology from Dartmouth College where she worked in a psychiatry lab investigating digital interventions and digital phenotyping for various mental health disorders. This research led her to the CDMH where she works on digital interventions for individuals with obsessive-compulsive disorder and digital resources for educators and school-aged children.

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Jasmine Williams, B.S.

Jasmine Williams earned her B.S in Psychology from the University of Maryland. While there, she worked in a psychotherapy clinic and research lab investigating the usage of open and closed questions during talk therapy. She currently is working at the Center for OCD and Related Disorders (CORD) where she is researching a digital health intervention for Major Depressive Disorder (MDD).

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