Icahn School of Medicine at Mount Sinai

Helen Mayberg, MD, is a renowned neurologist and pioneer in deep brain stimulation (DBS) research, currently serving as the Director of the Nash Family Center for Advanced Circuit Therapeutics at Mount Sinai. She is globally recognized for her revolutionary work mapping the neural circuitry of depression, specifically identifying Area 25 (the subcallosal cingulate) as a critical modulator of negative mood. Her seminal research demonstrated that targeted electrical stimulation of this brain region could effectively interrupt treatment-resistant depression, offering a lifeline to patients who had exhausted all other therapeutic options. A member of both the National Academy of Medicine and the National Academy of Sciences, Dr. Mayberg continues to advance the field of functional neuroimaging and personalized neuromodulation to treat complex neuropsychiatric disorders.

MIT Media Lab

Rosalind Picard, ScD, is a pioneer in the field of digital health and the Grover M. Hermann Professor in Health Sciences and Technology at the MIT Media Lab, where she serves as the director of Affective Computing research. Renowned for her groundbreaking 1997 book Affective Computing, she effectively launched the field of computer science focused on expanding human emotion communication and artificial emotional intelligence. Her innovative research developing wearable sensors capable of measuring autonomic nervous system signals led to her co-founding the successful MIT spin-offs Affectiva and Empatica. An elected member of the National Academy of Engineering, Dr. Picard’s work bridges the gap between engineering, neuroscience, and clinical psychiatry to create technologies that improve autonomic health and now provide hundreds of other validated biomarkers related to sleep, seizures, and tremors, with active research underway for depression and pain. Dr. Picard was the recipient of the 2022 International Lombardy Prize for Computer Science Research, which is described by many as the “Nobel prize in computer science” and of the 2026 IEEE Medal for Innovations in Healthcare Technology.

Beth Israel Deaconess Medical Center

John Torous, MD, MBI, is a leading psychiatrist, clinical informatician, and the Director of the Digital Psychiatry Division at Beth Israel Deaconess Medical Center, a Harvard Medical School teaching hospital. He is internationally recognized for his pioneering research in digital phenotyping, using passive smartphone sensor data and active surveys to understand and predict changes in mental health. Dr. Torous leads the development of MINDLAMP, an open-source clinical research platform designed to safely integrate smartphone technology into neuropsychiatric care and research. In addition to his clinical and research roles, he serves as an editor for JMIR Mental Health and chairs the American Psychiatric Association’s Health Information Technology Committee, advocating for evidence-based standards and evaluation frameworks for mental health apps.

Albert Einstein College of Medicine

Laura Germine, PhD, is Professor and Chief of the Division of Brain and Cognitive Health Technology at Albert Einstein College of Medicine. A pioneer in digital neuropsychology, Dr. Germine previously established the Laboratory for Brain and Cognitive Health Technology at McLean Hospital and served as the Technical Director of the Institute for Technology in Psychiatry. She is the creator of TestMyBrain, a digital cognitive assessment platform that has engaged 4 million participants worldwide across over 2000 research studies, and President of the nonprofit software company, the Many Brains Project. Her research focuses on leveraging digital health technologies, mobile platforms, and dynamic cognitive phenotyping to better understand and predict mental health outcomes. She also is MPI of the NIH Open Measurement Network Initiative for AD/ADRD, a national network for midlife cognitive monitoring in primary prevention trials. Dr. Germine received her BA from UC Berkeley and her PhD in experimental psychopathology from Harvard University.

Ōura

Shyamal Patel, PhD, is Oura’s SVP of Science, where he leads an interdisciplinary organization focused on research and development of algorithms that translate sensor data into accurate measures of health and wellbeing. He is passionate about building digital health solutions that enable the transformation of healthcare from a largely subjective, episodic, and reactive model to become more objective, continuous, and proactive. Before Oura, Dr. Patel led data science teams in several startups and, most recently at Pfizer where his work was focused on development, validation, and deployment of new digital endpoints across multiple therapeutic areas in regulated clinical trials. Dr. Patel has a PhD in electrical engineering with a specialization in signal processing and applied machine learning from Northeastern University. He completed his post-doctoral research at Harvard University.

Google DeepMind

Isaac Galatzer-Levy, PhD, is a clinical psychologist and Senior Staff Research Scientist at Google, where he develops AI-driven tools to transform mental-health assessment and care. He also serves as an Adjunct Assistant Professor of Psychiatry at NYU Grossman School of Medicine. His research focuses on trauma, resilience, and the use of machine learning and digital biomarkers to predict mental-health outcomes. Dr. Galatzer-Levy has authored more than 100 peer-reviewed publications and is a leading voice in computational mental health. His work bridges clinical science and technology to build scalable, personalized approaches to mental-health support.

JAMA+ AI

Roy Perlis, MD, MSc, serves as the Editor in Chief of JAMA+ AI, overseeing the publication of cutting-edge research evaluating the clinical implementation of artificial intelligence in medicine. He is also a prominent psychiatrist and researcher serving as the Director of the Center for Quantitative Health and Associate Chief for Research in the Department of Psychiatry at Massachusetts General Hospital. A Professor of Psychiatry at Harvard Medical School, his pioneering research applies artificial intelligence, machine learning, and patient-derived cellular models to identify predictors of treatment response in brain diseases like bipolar disorder and major depressive disorder. Dr. Perlis is globally recognized for co-leading the team that identified the first genetic variation associated with major depression and for developing the MGH NeuroBank, a massive cellular biobank linking genomic data to electronic health records.

American Psychiatric Association (APA)

Marketa M. Wills, M.D., M.B.A., FAPA, serves as the CEO and Medical Director of the American Psychiatric Association (APA), making history as the organization’s eighth CEO—and the first Black American and first woman to hold the position. Prior to assuming this role, she built an extensive career bridging healthcare leadership, clinical operations, and strategy, serving as Senior Vice President and Chief Medical Officer at Johns Hopkins Health Plans, as well as holding executive leadership positions at McKinsey & Company, Memorial Hermann Hospital System, and WellCare Health Plans. Dr. Wills completed her medical degree at the Perelman School of Medicine at the University of Pennsylvania, her MBA at The Wharton School, and her adult psychiatry residency at the Harvard Massachusetts General Hospital/McLean Hospital program, where she served as chief resident. In addition to her executive leadership and clinical advocacy, she is the co-author of Understanding Mental Illness, a public guide to mental health conditions, and is a certified yoga teacher and dedicated practitioner of mindfulness and meditation.

Mass General Brigham

Sabine Wilhelm, Ph.D., is the Donovan-Chien Family Endowed Professor in Psychology at Harvard Medical School, Chief, Division of Psychology at Mass General Brigham, Director of the Center for OCD and Related Disorders (CORD), and Director of the Center for Digital Mental Health at Massachusetts General Hospital. In response to rising mental health needs and a global mental health workforce shortage, Dr. Wilhelm’s work focuses on developing scalable digital and AI-powered approaches to mental health assessment and treatment. She has developed and tested smartphone-based interventions for depression, obsessive-compulsive disorder, and body dysmorphic disorder. Her current research includes the use of generative AI tools to support more personalized and effective interventions. Across this work, her goal is to expand global access to high-quality mental health care through technology-enabled solutions. Dr. Wilhelm has published more than 385 peer-reviewed papers and book chapters, with an h-index of 97, and has authored or edited nine books. She has served as principal investigator or site principal investigator on numerous NIMH- and foundation-funded clinical research grants examining pharmacologic, cognitive-behavioral, digital, and other treatments for psychiatric disorders in children and adults. Her honors include the Lifetime Achievement Award from the Academy of Cognitive and Behavioral Therapies, the Career Achievement Award from the International OCD Foundation, the Peter K. Ranney Innovation Award from the World Medical Innovation Forum, and the NAMI Scientific Research Award. She has held national and international leadership roles, including Fellow and Past President of the Association for Behavioral and Cognitive Therapies and Fellow of the American Psychological Society. She chairs the Scientific Advisory Board of the International OCD Foundation and is a founding board member of the Society for Digital Mental Health.

Johns Hopkins University

Ilya E. Monosov, PhD, is a neuroscientist and Bloomberg Distinguished Professor of Curiosity and Intelligence at Johns Hopkins University, with appointments in Neuroscience, Biomedical Engineering, Electrical and Computer Engineering, and Psychiatry. He directs the Laboratory of Adaptive and Maladaptive Behavior. He is also a member of the Zanvyl Krieger Mind/Brain Institute and the Data Science and AI Institute at Johns Hopkins. His research centers on the neural mechanisms that govern motivation, emotion, curiosity, and decision-making under uncertainty, and on how these mechanisms break down in disorders of cognition and mood. Recent work also examines brain–body interactions: how prefrontal and hypothalamic circuits regulate the body’s autonomic state.

By uncovering how biological circuits produce adaptive and maladaptive behavior, and translating these principles into computational psychiatry and machine learning, the lab aims to improve mental and physical health and to build algorithms that better serve human goals.