Publications

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(2024). Depressive Symptoms as a Heterogeneous and Constantly Evolving Dynamical System: Idiographic Depressive Symptom Networks of Rapid Symptom Changes among Persons with Major Depressive Disorder. Journal of Psychopathology and Clinical Science.

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(2024). Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward. Behav Res Ther.

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(2023). Detecting Major Depressive Disorder Presence Using Passively-Collected Wearable Movement Data in a Nationally-Representative Sample. Psychiatry Research.

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(2023). Using Digital Phenotyping to Capture Depression Symptom Variability: Detecting Naturalistic Variability in Depression Across One Year Using Passively-Collected Wearable Movement and Sleep Data. Translational Psychiatry.

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(2023). Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7(4).

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(2023). The Hidden Depths of Suicidal Discourse: Network Analysis and Natural Language Processing Unmask Uncensored Expression. Digital Health.

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(2023). Using Machine Learning to Forecast Depressive Symptom Changes Among Subclinical Depressed Patients Receiving Stepped-Care Delivery or Usual Care. Journal of Affective Disorders.

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(2023). Behind the Screen: A Narrative Review of Advancements in Mobile and Wearable Passive Sensing for Mental Health Assessment. Biomedical Materials and Devices.

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(2023). Predicting Individual Response to a Web-Based Positive Psychology Intervention: A Machine Learning Approach. Journal of Positive Psychology.

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(2023). Depression deconstructed: Wearables and passive digital phenotyping for analyzing individual symptoms. Behaviour Research and Therapy.

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(2023). Dysregulated Emotion and Trying Substances in Childhood: Insights from a Large Nationally Representative Cohort Study. Substance Use and Misuse.

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(2023). Development of a digital biomarker and intervention for subclinical depression: Study protocol for a longitudinal waitlist control study. BMC Psychology.

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(2023). Patient Engagement in Multi-Modal Digital Phenotyping for Opioid Use Disorder. Journal of Medical Internet Research (JMIR).

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(2023). Leveraging Deep Learning Models to Understand the Daily Experience of Anxiety in Teenagers over the Course of a Year. Journal of Affective Disorders, 329, 293-299.

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(2023). Testing Domain Knowledge and Risk of Bias of a Large Scale General A.I. Model in Mental Health. Digital Health.

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(2023). Second-to-Second Affective Responses to Images Correspond With Affective Reactivity, Variability, and Instability in Daily Life. Experimental Psychology.

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(2023). Reliability (or Lack Thereof) of Smartphone-Delivered Visual Dot Probe Attention Bias Indices. Journal of Behavior Therapy and Experimental Psychiatry.

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(2023). Digitally Filling the Access Gap in Mental Health Care: An Investigation of the Association between Rurality and Online Engagement with Validated Self-report Screens across the United States. Journal of Psychiatric Research.

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(2023). Applying Ensemble Machine Learning Models to Predict Individual Response to a Digitally Delivered Worry Postponement Intervention. Journal of Affective Disorders.

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(2022). End User Participation in the Development of an Ecological Momentary Intervention to Improve Coping With Cannabis Cravings: Formative Study. JMIR Formative Research.

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(2022). Evaluating Change in Body Image Concerns Following a Single Session Digital Intervention. Body Image.

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(2022). Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learning. PLOS One.

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(2022). Mobile phone–based interventions for mental health show promise of effectiveness, but what does the evidence tell us about what needs to come next?. PLOS Digital Health.

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(2022). An Unsupervised Machine Learning Approach Using Passive Movement Data to Understand Depression and Schizophrenia. Vol 316, Pages 132-139.

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(2022). A Psychological Flexibility Perspective on Well-Being: Emotional Reactivity, Adaptive Choices, and Daily Experiences. Emotion.

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(2022). The Temporal Dynamics of Physical Activity-Mediated Emotional Regulation in Adolescents with Anorexia Nervosa and Healthy Controls: Investigating the Impact of Physical Activity on Self-Report Emotion with Wearable Technology and Lag-Ensemble Machine Learning. European Eating Disorders Review.

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(2022). Digital Phenotyping of Generalized Anxiety Disorder: Using Artificial Intelligence to Accurately Predict Symptom Severity Using Wearable Sensors in Daily Life. Translational Psychiatry.

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(2022). Predicting Symptom Response and Engagement in a Digital Intervention Among Individuals with Schizophrenia and Related Psychoses. Frontiers in Psychiatry.

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(2022). Predictive Modeling of Suicidal Ideation in Patients with Epilepsy. Epilepsia.

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(2022). Exploring the Digital Footprint of Depression: A PRISMA Systematic Literature Review of the Empirical Evidence. BMC Psychiatry.

(2022). Early Response to Cognitive Behavioral Therapy for Body Dysmorphic Disorder as a Predictor of Outcomes. Journal of Psychiatric Research.

(2022). Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants' Well-being: Ecological Momentary Assessment. Journal of Medical Internet Research (JMIR).

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(2022). The feasibility and utility of harnessing digital health to understand clinical trajectories in medication treatment for Opioid Use Disorder: D-TECT Study Design and Methodological Considerations. Frontiers in Psychiatry.

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(2022). Low Emotion Differentiation as a Transdiagnostic Risk Factor: Idiographic and Nomothetic Measurements Predicting Anxiety, Depression, and Personality Pathology. Cognitive Therapy and Research.

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(2022). Editorial: Leveraging Technology for Comprehensive Mental Health Assessment: Pairing Quantitative Models with Passively Collected Sensor Data. Frontiers in Psychology.

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(2022). Association of Selective Serotonin Reuptake Inhibitor Use With Abnormal Physical Movement Patterns as Detected Using a Piezoelectric Accelerometer and Deep Learning in a Nationally Representative Sample of Noninstitutionalized Persons in the US. JAMA Network Open.

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(2022). Adolescent emotion regulation and future psychopathology: A prospective transdiagnostic analysis. Journal of Research on Adolescence.

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(2022). Standalone Apps for Anxiety and Depression Show Promising Early Efficacy: A Commentary on Meta-Analytic Results. Meta-Psychology.

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(2022). Effectiveness of a chatbot for eating disorders prevention: A randomized clinical trial. International Journal of Eating Disorders.

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(2022). Challenges in Designing a Mental Health Prevention Chatbot: Lessons Learned from the Field. Journal of Medical Internet Research.

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(2021). Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments. Behaviour Research and Therapy.

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(2021). Anxiety, depression, and substance experimentation in childhood. PLOS One.

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(2021). The Language of the Times: Using the COVID-19 Pandemic to Assess the Influence of News Affect on Online Mental Health-Related Search Behavior across the United States. Journal of Medical Internet Research (JMIR).

(2021). Elena+ Care for COVID-19, a Pandemic Lifestyle Care Intervention: Intervention Design and Study Protocol. Frontiers in Public Health.

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(2021). Using smartphone app use and lagged-ensemble machine learning for the prediction of work fatigue and boredom. Computers in Human Behavior.

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(2021). The Application of Machine Learning to Online Mindfulness Intervention Data: A Primer and Empirical Example in Compliance Assessment. Mindfulness.

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(2021). Just-in-time Adaptive Mechanisms of Popular Mobile Applications for Individuals with Depression: Systematic Review. Journal of Medical Internet Research (JMIR).

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(2021). Integration of Discrete and Global Structures of Affect Across Three Large Samples: Specific Emotions Within-Persons and Global Affect Between-Persons. Emotion.

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(2021). Predicting Acute Suicidal Ideation on Instagram Using Ensemble Machine Learning Models. Internet Interventions.

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(2021). Using Artificial Intelligence and Longitudinal Location Data to Differentiate Persons who Develop Posttraumatic Stress Disorder Following Childhood Trauma. Scientific Reports.

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(2021). A Randomized Controlled Feasibility Trial of Internet-Delivered Guided Self-Help for Generalized Anxiety Disorder (GAD) Among University Students in India. Psychotherapy.

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(2021). Mental Health and Behavior of College Students in the COVID-19 Pandemic: A Longitudinal Mobile Smartphone and Ecological Momentary Assessment Study - Part II. Journal of Medical Internet Research (JMIR).

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(2021). Association of COVID19-induced anosmia and ageusia with depression and suicidal ideation. Journal of Affective Disorders Reports.

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(2021). Initial Evaluation of Domain-Specific Episodic Future Thinking on Delay Discounting and Cannabis Use. Experimental and Clinical Psychopharmacology.

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(2021). Emotion network density is a potential clinical marker for anxiety and depression: Comparison of ecological momentary assessment and daily diary. British Journal of Clinical Psychology.

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(2021). Deep Learning Paired with Wearable Passive Sensing Data Predicts Deterioration in Anxiety Disorder Symptoms across 17-18 Years. Journal of Affective Disorders.

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(2020). Predictive Modeling of Psychiatric Illness using Electronic Medical Records and a Novel Machine Learning Approach with Artificial Intelligence. Scientific Reports.

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(2020). Harnessing mobile technology to reduce mental health disorders in college populations: A randomized controlled trial study protocol. Contemporary Clinical Trials.

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(2020). Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from A Transdiagnostic Randomized Controlled Trial. Psychiatry Research.

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(2020). Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings. Journal of Medical Internet Research (JMIR).

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(2020). The Temporal Dynamics of Sleep Disturbance and Psychopathology in Psychosis: A Digital Sampling Study. Journal of Medical Internet Research (JMIR): Formative Research.

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(2020). Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage. Journal of Medical Internet Research (JMIR): Formative Research.

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(2020). Impact of Online Mental Health Screening Tools on Help-Seeking, Care Receipt, and Suicidal Ideation and Suicidal Intent: Evidence from Internet Search Behavior in a Large U.S. Cohort. Journal of Psychiatric Research.

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(2020). Sifting Through the Weeds: Differential Relationships Between Cannabis Use Frequency Measures and Delay Discounting. Addictive Behaviors.

(2020). A randomized controlled trial of a smartphone-based application for the treatment of anxiety. Psychotherapy Research.

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(2020). Passive Sensing of Prediction of Moment-to-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample using Smartphones. Sensors.

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(2020). Guidelines for Wrist-Worn Consumer Wearables Assessment of Heart Rate in Biobehavioral Research. npj Digital Medicine.

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(2020). Flattening the Mental Health Curve: COVID-19 Stay-at-Home Orders Are Associated With Alterations in Mental Health Search Behavior in the United States. JMIR Mental Health.

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(2020). Social Criticism Moderates the Relationship Between Anxiety and Depression 10 Years Later. Journal of Affective Disorders.

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(2020). Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping using Passive Smartphone Sensors. Journal of Medicial Internet Research (JMIR).

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(2020). Ethical dilemmas posed by mobile health and machine learning in psychiatry research. Bulletin of the World Health Organization.

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(2019). Cognitive-Behavioral Therapy in the Digital Age: Presidential Address. Behavior Therapy.

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(2019). Objective Digital Phenotypes of Worry Severity, Pain Severity, and Pain Chronicity in Persons Living with HIV. The British Journal of Psychiatry.

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(2019). Using Digital Phenotyping to Accurately Detect Depression Severity. Journal of Nervous and Mental Disease.

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(2019). Digital biomarkers of mood disorders and symptom change. Nature Partner Journal (npj) Digital Medicine.

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(2018). The Effects of Worry in Daily Life: An Ecological Momentary Assessment Study Supporting the Tenets of the Contrast Avoidance Model. Clinical Psychological Science.

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(2018). Current evolutionary adaptiveness of anxiety: Extreme phenotypes of anxiety predict increased fertility across multiple generations. Journal of Psychiatric Research.

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(2018). The Differential Time-Varying Effect Model (DTVEM): A Tool for Diagnosing and Modeling Time Lags in Intensive Longitudinal Data. Behavior Research Methods.

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(2018). Relaxation-induced anxiety: Effects of peak and trajectories of change on treatment outcome for generalized anxiety disorder. Psychotherapy Research.

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(2018). Expanding the validity of the Level of Personality Functioning Scale Observer-Report and Self-Report versions across psychodynamic and interpersonal paradigms. Journal of Personality Assessment.

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(2018). Handling missing data in the modeling of intensive longitudinal data. Structural Equation Modeling.

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(2018). Elections have consequences for student mental health: An accidental daily diary study. Psychological Reports.

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(2017). Anxiety and depression as bidirectional risk factors for one another: A meta-analysis of longitudinal studies. Psychological Bulletin.

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(2017). A theoretical and empirical modeling of anxiety integrated with RDoC and temporal dynamics. Journal of Anxiety Disorders.

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(2017). Perceived emotional social support in bereaved spouses mediates the relationship between anxiety and depression. Journal of Affective Disorders.

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(2017). Teaching strategies for personality assessment at the undergraduate level. Journal of Personality Assessment.

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(2016). Current evolutionary adaptiveness of psychiatric disorders: Fertility rates, parent−child relationship quality, and psychiatric disorders across the lifespan. Journal of Abnormal Psychology.

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(2016). Using repeated daily assessments to uncover oscillating patterns and temporally-dynamic triggers in structures of psychopathology: Applications to the DSM–5 alternative model of personality disorders. Journal of Abnormal Psychology.

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(2016). Perceptions of close and group relationships mediate the relationship between anxiety and depression over a decade later. Depression and Anxiety.

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(2016). Interpersonal problems predict differential response to cognitive versus behavioral treatment in a randomized controlled trial. Behavior Therapy.

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(2016). Clinical feedback about empirically supported treatments for obsessive-compulsive disorder. Behavior Therapy.

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(2015). Adult attachment as a moderator of treatment outcome for GAD: Comparison between CBT plus supportive listening and CBT plus interpersonal and emotional processing therapy. Journal of Consulting and Clinical Psychology.

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(2014). Interpersonal and emotion-focused processing psychotherapy for generalized anxiety disorder. International Handbook of Anxiety Disorders: Theory, Research and Practice, Volume II.

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(2014). Generalized anxiety disorder. Gabbard’s Treatments of Psychiatric Disorders, 5th Edition.

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(2014). Avoidance mediates the relationship between anxiety and depression over a decade later. Journal of Anxiety Disorders.

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(2013). Deficits of encoding in hypnosis: A result of altered state of awareness. American Journal of Clinical Hypnosis.

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(2011). The effects of encoding under hypnosis and post-hypnotic suggestion on academic performance. American Journal of Clinical Hypnosis.

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