Biographical Sketches of Committee on Accelerating Behavioral Science through Ontology Development and Use
Robert M. Kaplan (NAM) is a faculty member at the Stanford School of Medicine Clinical Excellence Research Center. He previously served as chief science officer at the U.S. Agency for Healthcare Research and Quality (AHRQ) and as associate director of the National Institutes of Health, where he led the behavioral and social sciences programs. He is also a distinguished research professor of health policy and management at the University of California, Los Angeles (UCLA), where he previously led the UCLA/RAND AHRQ health services training program and the UCLA/RAND Centers for Disease Control Prevention Research Center. He was formerly chair of the Department of Health Services and professor and chair of the Department of Family and Preventive Medicine, at the University of California, San Diego. He is a past president of five different national or international professional organizations and has served as editor-in-chief for two academic journals. He has a Ph.D. in psychology from the University of California, Riverside.
Demba Ba serves as associate professor of electrical engineering and bioengineering in Harvard University’s School of Engineering and Applied Sciences, where he directs the Chesapeake Regional Information System for our Patients group. Recently, he has taken a keen interest in the connection between artificial neural networks and sparse signal processing. His group leverages this connection to solve data-driven unsupervised learning problems in neuroscience, to understand the principles of hierarchical
representations of sensory signals in the brain, and to develop explainable artificial intelligence. Previously, he was a postdoctoral associate with the MIT/Harvard Neuroscience Statistics Research Laboratory, where he developed theory and efficient algorithms to assess synchrony among large assemblies of neurons. He has a Ph.D. in electrical engineering and computer science with a minor in mathematics from the Massachusetts Institute of Technology. In 2021, Harvard’s Faculty of Arts and Sciences awarded him the Roslyn Abramson award for outstanding undergraduate teaching.
Lisa Feldman Barrett is a university distinguished professor at Northeastern University with appointments at the Massachusetts General Hospital (MGH) and Harvard Medical School. Her lab is developing a systems-level model of brain and body mechanisms to unify human affect, emotion, motivation, cognition, and action. She is the recipient of a National Institutes of Health Director’s Pioneer Award for transformative research, Guggenheim Fellowship in neuroscience, the Mentor Award for Lifetime Achievement from the Association for Psychological Science, and the Distinguished Scientific Contribution Award from the American Psychological Association. She is an elected fellow of the American Academy of Arts and Sciences, the Royal Society of Canada, and a number of other honorific societies. She is also a former president of the APS. She is the Chief Science Officer for the Center for Law, Brain and Behavior at MGH, and actively engages in informal science education. She has a Ph.D. in clinical psychology from the University of Waterloo.
Jiang Bian is the associate director of the Biomedical Informatics program for the Clinical and Translational Sciences Institute at the University of Florida and the director of the Cancer Informatics Shared Resource for the University of Florida Health Cancer Center, where he is also an associate professor in biomedical informatics. His background is in data sciences, working with heterogeneous data, information, and knowledge resources. His research focuses on data-driven medicine with applications of informatics techniques, including artificial intelligence and machine learning methods in medicine in order to solve big and heterogeneous data problems. He is focused on data mining, including the social Web, to provide insights into health-related behavior and health outcomes of various populations for development of interventions that promote public and consumer health. He is also focused on development of novel informatics methods, specifically systems to support clinical and clinical research activities, such as tools for semantic data integration, data-driven clinical trial design, and cohort discovery. He has a Ph.D. in integrated computing from the University of Arkansas at Little Rock.
Katy Börner is the Victor H. Yngve distinguished professor of engineering and information science in the Departments of Intelligent Systems Engineering and Information Science at the Luddy School of Informatics, Computing, and Engineering. She is core faculty of the cognitive science program and the founding director of the Cyberinfrastructure for Network Science Center at Indiana University. She is a fellow of the American Association for the Advancement of Science, a Humboldt Research fellow, and an Association for Computing Machinery fellow. She also serves as a curator of the international Places & Spaces: Mapping Science exhibit. Her research focuses on the development of data analysis and visualization techniques for information access, understanding, and management. She is particularly interested in the formalization, measurement, and systematic improvement of people’s data visualization literacy; the study of the structure and evolution of scientific disciplines; the analysis and visualization of online activity; and the development of cyberinfrastructures for large-scale scientific collaboration and computation. She has a Ph.D. from the University of Kaiserslautern.
Bruce F. Chorpita is a professor of psychology and professor of psychiatry and biobehavioral sciences at the University of California, Los Angeles. He was 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.
David Danks* is professor of data science and philosophy and affiliate faculty in computer science and engineering at the University of California, San Diego. His research interests are at the intersection of philosophy, cognitive science, and machine learning, using ideas, methods, and frameworks from each to advance our understanding of complex, interdisciplinary problems. He has examined the ethical, psychological, and policy issues around AI
* Committee Member as of July 29, 2021.
and robotics in transportation, health care, privacy, and security. He has also done research in computational cognitive science, culminating in his Unifying the Mind: Cognitive Representations as Graphical Models, and he has developed multiple novel causal discovery algorithms for complex types of observational and experimental data. He is the recipient of a James S. McDonnell Foundation Scholar Award, as well as an Andrew Carnegie Fellowship. He was previously L.L. Thurstone professor of philosophy and psychology and head of the department of philosophy at Carnegie Mellon University (CMU). He also served as the chief ethicist of CMU’s Block Center for Technology & Society; co-director of CMU’s Center for Informed Democracy and Social Cybersecurity; and an adjunct member of the Heinz College of Information Systems and Public Policy and the CMU’s Neuroscience Institute. He received an A.B. in philosophy from Princeton University and a Ph.D. in philosophy from the University of California, San Diego.
Karina W. Davidson is dean of academic affairs, director of the Institute of Health System Science at the Feinstein Institutes for Medical Research, Endowed Donald and Barbara Zucker professor in health outcomes at the Zucker School of Medicine, and senior vice president, research at Northwell Health. For more than 25 years she has served in leadership roles for teams focused on the advancement of scientific and patient care missions. Her current research focuses on personalized (N-of-1) trials to identify precision therapies to improve a single patient’s symptoms, conditions, or behaviors, and promote their overall health and wellness. Many of her National Institutes of Health-funded randomized controlled trials additionally focus on changing both clinician and patient behavior, to ultimately improve length or quality of patient life. She has a Ph.D. in clinical health psychology and an M.A.Sc in industrial/organizational psychology. Davidson currently serves as chair of the United States Preventive Services Task Force.
Randall Engle (NAS)** is a professor at Georgia Institute of Technology. His research focuses on cognition and brain science. His interests include working memory capacity and its relationship to the concept of attention control. He is a member of the National Academy of Sciences, American Psychological Association (fellow), American Psychological Society (fellow), the Society of Experimental Psychologists, the Psychonomic Society, Memory Disorders Research Society, Sigma Xi, and The Scientific Research Society. He has a Ph.D. in experimental psychology from The Ohio State University.
** Committee Member until May 19, 2021.
Catherine A. Hartley is an associate professor of psychology and neural science at New York University (NYU). She is co-director of the NYU Institute for the Study of Decision Making and co-director of the NYU Max Planck Center for Language Music and Emotion. Her research aims to characterize changes in cognitive representations and computations that inform learning and decision making across development, and the neural dynamics that give rise to these changes. In this work, she leverages diverse methodological approaches including neuroimaging, computational modeling, and psychophysiology. A central goal of her research is to understand how specific learning and decision making biases contribute to vulnerability or resilience to psychopathology. She is an Association for Psychological Science (APS) fellow and a recipient of the National Institute of Mental Health Biobehavioral Research Award for Innovative New Scientists, the National Science Foundation CAREER Award, and APS Janet Taylor Spence Award for Transformative Early Career Contributions. She has a Ph.D. in experimental psychology from NYU.
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 has served as principal investigator of the National Center for Biomedical Ontology and the Center for Expanded Data Annotation and Retrieval. He chaired the Health Informatics and Modeling Topic Advisory Group for the World Health Organization (WHO)’s revision of the International Classification of Diseases and he currently 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 M.D. from Brown University and his Ph.D. in medical information sciences from Stanford University.
Vimla L. Patel is a senior research scientist and director of the Center for Cognitive Studies in Medicine and Public Health at the New York Academy of Medicine. Previously, she was a professor of medicine and the director of Cognitive Science Center at McGill University. Her early research focused on scientific foundations for medical and health education, particularly in cognitive foundations of medical decision making. She is an elected fellow of the Royal Society of Canada (Academy of Social Sciences), the American
College of Medical Informatics, and the New York Academy of Medicine, and she is a recipient of the Swedish Woman of Science award. She is an associate editor of the Journal of Biomedical Informatics and sits on the editorial boards of Intelligence-based Medicine and Advances in Health Science Education. She has a Ph.D. in educational and cognitive psychology from McGill University.
Frank Puga is an assistant professor in the department of acute, chronic and continuing care at the University of Alabama at Birmingham School of Nursing. His expertise includes stress, resilience, and mental health in older adults living with chronic illness. His research focuses on inter- and intraindividual variation in mental health experiences over time and factors that increase resilience to stress in older adults, specifically among diverse patient populations disproportionately impacted by dementia and cancer. The main goal of his work is to develop and test cognitive and behavioral interventions that promote healthy aging. He received his Ph.D. in psychology with a concentration in behavioral neuroscience from the University of Texas at Austin.
Carla Sharp is a professor of psychology and associate dean for faculty and research at the University of Houston (UH). She also directs the Developmental Psychopathology Lab at UH. Her main research focus is on social cognition as it relates to disorders of attachment disruption in children and adolescents, with a special interest in borderline personality disorder. Her books include Social Cognition and Developmental Psychopathology and the Handbook of Borderline Personality Disorder in Children and Adolescents. She is currently interested in the metastructure of psychopathology to determine the cross-cutting value of social cognition in alternative models of personality pathology and as target of treatment. She received her Ph.D. in clinical psychology from the University of Cambridge.
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.
Cui Tao is the Doris L. Ross professor of biomedical informatics and director of the Center for Biomedical Semantics and Data Intelligence at The University of Texas Health Science Center at Houston. Her background is in clinical informatics and computer science, and her research interests include ontologies, standard terminologies, semantic Web, information extraction and integration, machine learning, 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, the highest honor bestowed by the U.S. government on science and engineering professionals in the early stages of their independent research careers. She has a Ph.D. in computer science from Brigham Young University.
James F. Woodward is a distinguished professor in the department of history and philosophy of science at the University of Pittsburgh. Previously, he was the J.O. and Juliette Koepfli professor of humanities at the California Institute of Technology. He is a fellow of the American Academy of Arts and Sciences, a fellow of the American Association for the Advancement of Science, and former president of the Philosophy of Science Association. His research covers a number of different areas, including theories of causation, explanation and inductive inference in general philosophy of science, philosophy of psychology, and philosophy of social science. His interests in psychology include the empirical psychology of causal learning and judgment. He also maintains an interest in moral psychology and the empirical study of human behavior in morally significant situations.
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