Mark A. Musen, PhD, Stanford University, musen@stanford.edu

Mark A. Musen (NAM) is a professor of biomedical informatics at Stanford University, where he is the director of the Stanford Center for Biomedical Informatics Research. He conducts research related to open science, data stewardship, intelligent systems, and biomedical decision support. His group developed Protégé, the world's most widely used technology for building and managing terminologies and ontologies.

He is principal investigator of the National Center for Biomedical Ontology. He is a principal investigator of the Center for Expanded Data Annotation and Retrieval. He has chaired the Health Informatics and Modeling Topic Advisory Group for the World Health Organization (WHO)'s revision of the International Classification of Diseases (ICD-11) and directs the WHO Collaborating Center for Classification, Terminology, and Standards at Stanford University.

He has been elected to the American College of Medical Informatics, the Association of American Physicians, the International Academy of Health Sciences Informatics, and the National Academy of Medicine. He is founding co-editor-in-chief of the journal Applied Ontology. He received his Ph.D. in medical information sciences at Stanford University.

Cui Tao, PhD, Department of Artificial Intelligence and Informatics, Mayo Clinic, tao.cui@mayo.edu

Cui Tao is the inaugural Enterprise Chair of the Department of Artificial Intelligence and Informatics at Mayo Clinic. She serves as Vice President of Mayo Clinic Platform and the Enterprise Deputy Co-director of Data Science and Artificial Intelligence at the Mayo Clinic Comprehensive Cancer Center. She is a Professor of Biomedical Informatics and an elected fellow of the American College of Medical Informatics.

Her background is in clinical informatics and computer science, and her research interests include ontologies, knowledge graphs, predictive modeling, deep learning, large language models, as well as applying these technologies to clinical and translational studies. She is a recipient of the Presidential Early Career Awards for Scientists and Engineers (PECASE), the highest honor bestowed by the United States Government on science and engineering professionals in the early stages of their independent research careers. Her collective research funding surpasses $30 million. She has Ph.D. in computer science from Brigham Young University.

Catherine A. Hartley, PhD, New York University

Catherine Hartley is an associate professor of psychology and neural science at New York University. Her research focuses on characterizing the changes in cognitive representations and computations that inform learning and decision-making across development, and how dynamic changes in brain circuits give rise to these processes.

A goal of her research is to understand the costs and benefits associated with how individuals learn and make decisions at different developmental stages, as well as how specific learning and decision-making biases contribute to psychological vulnerability or resilience. She sits on the board of the Society for Neuroeconomics, the Social Affective Neuroscience Society, and the Flux Society, and is a fellow of the Association for Psychological Science. She received her B.S. in symbolic systems from Stanford University, her Ph.D. in psychology from New York University, and conducted her postdoctoral training at the Sackler Institute for Developmental Psychobiology at Weill Cornell Medicine.

Tim Strauman, PhD, Duke University, tjstraum@duke.edu

Timothy J. Strauman is a professor and former chair of the Department of Psychology and Neuroscience at Duke University and also professor of psychiatry and behavioral sciences in the Duke University School of Medicine. His research interests focus on the psychological and neurobiological processes of self-regulation, conceptualized in terms of a cognitive/motivational perspective, as well as on the relation between self-regulation and affect and how such processes might contribute to psychopathology.

His lab's clinically focused research includes the development and validation of a new self-regulation - based therapy for depression, self-system therapy, and the use of neuroimaging techniques to examine the mechanisms of action of treatments for depression. He is a former president of the Academy of Psychological Clinical Science, a fellow of the Association for Psychological Science, a current member of the Board on Behavioral, Cognitive, and Sensory Sciences, and a founding fellow of the Academy of Cognitive Therapy. He has a Ph.D. in psychology from New York University.

Mark A. Musen, PhD, Stanford University, musen@stanford.edu

Mark A. Musen (NAM) is a professor of biomedical informatics at Stanford University, where he is the director of the Stanford Center for Biomedical Informatics Research. He conducts research related to open science, data stewardship, intelligent systems, and biomedical decision support. His group developed Protégé, the world's most widely used technology for building and managing terminologies and ontologies.

He is principal investigator of the National Center for Biomedical Ontology. He is a principal investigator of the Center for Expanded Data Annotation and Retrieval. He has chaired the Health Informatics and Modeling Topic Advisory Group for the World Health Organization (WHO)'s revision of the International Classification of Diseases (ICD-11) and directs the WHO Collaborating Center for Classification, Terminology, and Standards at Stanford University.

He has been elected to the American College of Medical Informatics, the Association of American Physicians, the International Academy of Health Sciences Informatics, and the National Academy of Medicine. He is founding co-editor-in-chief of the journal Applied Ontology. He received his Ph.D. in medical information sciences at Stanford University.

Tim Strauman, PhD, Duke University, tjstraum@duke.edu

Timothy J. Strauman is a professor and former chair of the Department of Psychology and Neuroscience at Duke University and also professor of psychiatry and behavioral sciences in the Duke University School of Medicine. His research interests focus on the psychological and neurobiological processes of self-regulation, conceptualized in terms of a cognitive/motivational perspective, as well as on the relation between self-regulation and affect and how such processes might contribute to psychopathology.

His lab's clinically focused research includes the development and validation of a new self-regulation - based therapy for depression, self-system therapy, and the use of neuroimaging techniques to examine the mechanisms of action of treatments for depression. He is a former president of the Academy of Psychological Clinical Science, a fellow of the Association for Psychological Science, a current member of the Board on Behavioral, Cognitive, and Sensory Sciences, and a founding fellow of the Academy of Cognitive Therapy. He has a Ph.D. in psychology from New York University.

Matthew Horridge, PhD, Stanford University, horridge@stanford.edu

Cui Tao, PhD, Department of Artificial Intelligence and Informatics, Mayo Clinic, tao.cui@mayo.edu

Cui Tao is the inaugural Enterprise Chair of the Department of Artificial Intelligence and Informatics at Mayo Clinic. She serves as Vice President of Mayo Clinic Platform and the Enterprise Deputy Co-director of Data Science and Artificial Intelligence at the Mayo Clinic Comprehensive Cancer Center. She is a Professor of Biomedical Informatics and an elected fellow of the American College of Medical Informatics.

Her background is in clinical informatics and computer science, and her research interests include ontologies, knowledge graphs, predictive modeling, deep learning, large language models, as well as applying these technologies to clinical and translational studies. She is a recipient of the Presidential Early Career Awards for Scientists and Engineers (PECASE), the highest honor bestowed by the United States Government on science and engineering professionals in the early stages of their independent research careers. Her collective research funding surpasses $30 million. She has Ph.D. in computer science from Brigham Young University.

Robert West, PhD, University College London, United Kingdom

Prof West co-founded the Behaviour Change Wheel, the Capability-Opportunity-Motivation-Behaviour (COM-B) model of behaviour, and the PRIME Theory of motivation. He has more than 900 academic publications including numerous books on behavioural science. He is former Editor-in-Chief of the academic journal, Addiction, and has acted as an advisor to the UK Government and currently advises the Welsh Government.

Yue Yu, PhD, Department of Artificial Intelligence and Informatics, Mayo Clinic, yu.yue1@mayo.edu

Yue Yu is an Assistant Professor of Biomedical Informatics and a Senior Data Science Analyst in the Department of Artificial Intelligence and Informatics at Mayo Clinic. Dr. Yu's background is in biomedical informatics, and his research interests include medical data standardization, common data models, and machine learning, as well as the application of artificial intelligence technologies to support clinical and translational research. He earned his Ph.D. in Public Health from Jilin University.

Catherine A. Hartley, PhD, New York University

Catherine Hartley is an associate professor of psychology and neural science at New York University. Her research focuses on characterizing the changes in cognitive representations and computations that inform learning and decision-making across development, and how dynamic changes in brain circuits give rise to these processes.

A goal of her research is to understand the costs and benefits associated with how individuals learn and make decisions at different developmental stages, as well as how specific learning and decision-making biases contribute to psychological vulnerability or resilience. She sits on the board of the Society for Neuroeconomics, the Social Affective Neuroscience Society, and the Flux Society, and is a fellow of the Association for Psychological Science. She received her B.S. in symbolic systems from Stanford University, her Ph.D. in psychology from New York University, and conducted her postdoctoral training at the Sackler Institute for Developmental Psychobiology at Weill Cornell Medicine.

Bruce F. Chorpita, PhD, University of California

Dr. Chorpita is a professor of psychology and professor of psychiatry and biobehavioral sciences at the University of California, Los Angeles. He is the lead developer for the intensive component of PRIDE, a project designed to develop, test, and disseminate effective treatments and training model for lay counselors to address anxiety, depression, and anger problems in adolescents in India. He is the principal investigator for the Reaching Families multisite trial and the lead author of the MATCH-ADTC protocol.

Previously, he held a faculty position with the department of psychology at the University of Hawaii, and he served as the clinical director of the Hawaii Department of Health's Child and Adolescent Mental Health Division. His ongoing research is aimed at improving the effectiveness of mental health service systems for children through innovation in mental health treatment design, clinical decision-making, information-delivery models, and service system architecture. He received his Ph.D. in psychology from the University at Albany, State University of New York.

Chris Mungall, PhD, Berkeley Lab

Licong Cui, PhD, University of Texas Houston

Nancy Kassem-Adams, PhD, Children's Hospital of Philadelphia