Dr. Shetty is a Professor of Oral & Maxillofacial Surgery and Biomedical Engineering at the University of California, Los Angeles. An early mover in the mHealth space, he works on point of care technologies to facilitate informed clinical decision making and population health management. His research program has been funded continuously by NIH since 1993. Beyond his research and clinical roles, he is deeply involved in academic governance, having served as Chair of the UCLA Academic Senate, as Assistant Vice Chancellor for Research, and a member of UCLA’s central Committee on Academic Personnel that makes the final tenure and promotion recommendations. Dr. Shetty has been a core faculty of the NIH’s mHealth Training Institutes since its inception in 2011 and also directs the training core of the Center of Excellence for Mobile Sensor Data-to-Knowledge.

Dr. Shetty is a Distinguished Professor of Oral & Maxillofacial Surgery and Biomedical Engineering at the University of California, Los Angeles. An early mover in the mHealth space, he works on point-of-care technologies to facilitate informed clinical decision-making and population health management. His research program has been funded continuously by NIH since 1993. Beyond his research and clinical roles, he is deeply involved in academic governance, having served as Chair of the UCLA Academic Senate, as Assistant Vice Chancellor for Research, and as a member of UCLA’s central Tenure Committee. Dr. Shetty has been a core faculty of the NIH’s mHealth Training Institutes since its inception in 2011 and also directs the training core of the mDOT Center.

Santosh Kumar is Lillian & Morrie Moss Chair of Excellence Professor in Computer Science at the University of Memphis. He received his Ph.D. in Computer Science and Engineering from the Ohio State University in 2006, where his dissertation was awarded a Presidential fellowship. In 2010, the Popular Science magazine named him one of America’s ten most brilliant scientists under the age of 38 (called “Brilliant Ten”) for leading the AutoWitness GPS-less burglar tracking project and AutoSense wearable sensor project for mobile measurement of stress and addictive behaviors. His current research seeks to revolutionize the research and practice of healthcare via evidence-based innovation in wearable sensing and mobile phones. He is currently director of the NIH Center of Excellence in Mobile Sensor Data-to-Knowledge (MD2K) and the NIH mHealth Center for Discovery, Optimization & Translation of Temporally-Precise Interventions (mDOT).

Dr. Spring is a clinical health psychologist and Professor of Preventive Medicine, Psychology and Psychiatry at Northwestern University and Director of its Center for Behavior and Health - Institute for Public Health and Medicine. She studies technology-assisted interventions to promote healthy change in multiple chronic disease risk behaviors (e.g., poor quality diet, physical inactivity) in research that has been continuously NIH-funded for more than 30 years. Her ongoing mHealth trials aim to optimize dynamic treatment for obesity, use sensor data to trigger just-in-time intervention that pre-empts relapse to smoking, and characterize behavioral features that predict maintenance of healthy diet and physical activity changes. A past president of the Society for Behavioral Medicine (SBM), she received SBM’s Distinguished Research Mentor, Research to Practice Translation, Outstanding Optimization Research, and Distinguished Leadership awards, and is founding editor of its journal, Translational Behavioral Medicine: Practice, Policy, Research. A winner of The Obesity Society’s e-Health Pioneer Award, she previously chaired the American Heart Association’s Behavior Change Committee, the American Psychological Association’s Board of Scientific Affairs, and the NIH Psychosocial Risk and Disease Prevention standing study section.

Nabil Alshurafa is an Associate Professor of Preventive Medicine and of Computer Science and Electrical and Computer Engineering at Northwestern University. He received his Ph.D. in Computer Science at the University of California Los Angeles. He currently directs the NIH- and NSF-funded HABits Lab, which aims to bridge computer science and behavioral science research. His current research seeks to enable passive assessment of lifestyle habits with the goal of designing technology-supported lifestyle treatments for obesity, smoking cessation, and mental health. His long-term goal is to design mobile health systems that combine machine learning and wearable sensors to understand human behaviors in their natural setting, as well as psychological state and environmental context, with the ultimate goal of designing interventions that help manage symptoms, prevent illness, and improve health and well-being.

Santosh Kumar is Lillian & Morrie Moss Chair of Excellence Professor in Computer Science at the University of Memphis. He received his Ph.D. in Computer Science and Engineering from the Ohio State University in 2006, where his dissertation was awarded a Presidential fellowship. In 2010, the Popular Science magazine named him one of America’s ten most brilliant scientists under the age of 38 (called “Brilliant Ten”) for leading the AutoWitness GPS-less burglar tracking project and AutoSense wearable sensor project for mobile measurement of stress and addictive behaviors. His current research seeks to revolutionize the research and practice of healthcare via evidence-based innovation in wearable sensing and mobile phones. He is currently director of the NIH Center of Excellence in Mobile Sensor Data-to-Knowledge (MD2K) and the NIH mHealth Center for Discovery, Optimization & Translation of Temporally-Precise Interventions (mDOT).

Dr. Nemati obtained his Ph.D. degree in Electrical Engineering and Computer Science from MIT in 2013, followed by two years of postdoctoral fellowship at the Harvard Intelligent Probabilistic Systems group focused on the application of deep learning and reinforcement learning techniques to healthcare data. He is currently the Director of Predictive Health Analytics at UC San Diego (UCSD) Health and an Associate Professor of Biomedical Informatics at UCSD where he leads an NIH-funded critical care informatics research group. He has published in several areas of research, including advanced signal processing and machine learning techniques, computational neuroscience/brain-machine interface, and predictive monitoring in hospitalized patients, resulting in over 100 peer-reviewed publications.

Byron Powell is an Associate Professor at the Brown School at Washington University in St. Louis. He is Co-Director of the Brown School’s Center for Mental Health Services Research; Co-Director of the Institute for Public Health’s Center for Dissemination & Implementation, for which he leads the Methods & Metascience Initiative; and Co-Director of the Institute of Clinical and Translational Science’s Dissemination and Implementation Research Core. He aims to improve the quality of health and social services by designing, tailoring, and assessing the effectiveness of implementation strategies and advancing implementation research methods. His work has primarily been funded by the U.S. National Institutes of Health. Byron is Past-President of the Society for Implementation Research Collaboration, Co-Editor-in-Chief of Implementation Research and Practice, and he serves on the editorial board of Implementation Science.

Craig Fox is Harold Williams Professor of Management and Professor of Psychology and Medicine at UCLA. He is also chair and co-founder of the Behavioral Decision Making Area at the UCLA Anderson School. Dr. Fox’s research investigates behavior under risk, uncertainty, and ambiguity, using a combination of methods that include surveys, laboratory and field experiments, analysis of archival data, and brain imaging. He also applies insights from behavioral economics and social psychology to improve health and financial decisions. Professor Fox has taught courses at the MBA, Executive, and Ph.D. levels on decision making, strategy, negotiation, and dynamic management. He has been at UCLA since 2003, and has also taught courses at Stanford, Northwestern, Duke, and Columbia universities. Professor Fox is founding co-editor of the journal Behavioral Science & Policy and co-President of the Behavioral Science & Policy Association. He is also former President of the Society for Judgment and Decision Making. He is a Fellow of the American Psychological Society

Dr. Lisa A. Marsch is the Founding Director of the Dartmouth Center for Technology and Behavioral Health, a designated “Center of Excellence” supported by the National Institute on Drug Abuse at the National Institutes of Health. She is also the Director of the Northeast Node of the National Drug Abuse Clinical Trials Network based out of Dartmouth and the Andrew G. Wallace Professor within the Departments of Psychiatry and Biomedical Data Science at the Geisel School of Medicine at Dartmouth College. In addition to directing this national Center, Dr. Marsch has been Principal Investigator on 35 grants, largely from the National Institutes of Health. She has led the development, evaluation and implementation of digital therapeutics for addiction treatment, HIV prevention, mental health, chronic pain management, substance abuse prevention, smoking cessation, and binge eating disorder. Her work in technology and addiction treatment has been particularly pioneering, as she is widely recognized as having led the development of one of the most widely tested and evidence-based mobile intervention for addiction treatment.

Dr. Aydogan Ozcan is the Chancellor’s Professor and the Volgenau Chair for Engineering Innovation at UCLA and an HHMI Professor with the Howard Hughes Medical Institute. He is also the Associate Director of the California NanoSystems Institute. Dr. Ozcan is elected Fellow of the National Academy of Inventors (NAI) and holds >70 issued/granted patents in microscopy, holography, computational imaging, sensing, mobile diagnostics, nonlinear optics and fiber-optics, and is also the author of one book and the co-author of >1000 peer-reviewed publications in leading scientific journals/conferences. Dr. Ozcan received major awards, including the Presidential Early Career Award for Scientists and Engineers (PECASE), International Commission for Optics ICO Prize, Dennis Gabor Award (SPIE), Joseph Fraunhofer Award & Robert M. Burley Prize (Optica), SPIE Biophotonics Technology Innovator Award, Rahmi Koc Science Medal, SPIE Early Career Achievement Award, Army Young Investigator Award, NSF CAREER Award, NIH Director’s New Innovator Award, Navy Young Investigator Award, IEEE Photonics Society Young Investigator Award and Distinguished Lecturer Award, National Geographic Emerging Explorer Award, National Academy of Engineering The Grainger Foundation Frontiers of Engineering Award and MIT’s TR35 Award for his seminal contributions to computational imaging, sensing and diagnostics. Dr. Ozcan is elected Fellow of Optica, AAAS, SPIE, IEEE, AIMBE, RSC, APS and the Guggenheim Foundation, and is a Lifetime Fellow Member of Optica, NAI, AAAS, SPIE and APS. Dr. Ozcan is also listed as a Highly Cited Researcher by Web of Science, Clarivate.

Dr. Spring is a clinical health psychologist and Professor of Preventive Medicine, Psychology and Psychiatry at Northwestern University and Director of its Center for Behavior and Health - Institute for Public Health and Medicine. She studies technology-assisted interventions to promote healthy change in multiple chronic disease risk behaviors (e.g., poor quality diet, physical inactivity) in research that has been continuously NIH-funded for more than 30 years. Her ongoing mHealth trials aim to optimize dynamic treatment for obesity, use sensor data to trigger just-in-time intervention that pre-empts relapse to smoking, and characterize behavioral features that predict maintenance of healthy diet and physical activity changes. A past president of the Society for Behavioral Medicine (SBM), she received SBM’s Distinguished Research Mentor, Research to Practice Translation, Outstanding Optimization Research, and Distinguished Leadership awards, and is founding editor of its journal, Translational Behavioral Medicine: Practice, Policy, Research. A winner of The Obesity Society’s e-Health Pioneer Award, she previously chaired the American Heart Association’s Behavior Change Committee, the American Psychological Association’s Board of Scientific Affairs, and the NIH Psychosocial Risk and Disease Prevention standing study section.

Dr. Eric Hekler, PhD, is a Professor in the Department of Family Medicine & Public Health in the University of California, San Diego (UCSD), the Director of the Center for Wireless & Population Health Systems within the Qualcomm Institute at UCSD, and the faculty member of the Design Lab at UCSD. His research is broadly focused on advancing methods in the design, creation, optimization, evaluation, and reuse (scaling up and out) of digital health technologies. His goal is to contribute towards a form of applied science that facilitates equitable participation, contribution, and benefit for all. There are three interdependent themes to his research, advancing: 1) methods for optimizing adaptive behavioral interventions; 2) methods and processes to help people and communities help themselves: and 3) research pipelines to achieve efficient, rigorous, context-relevant solutions for complex problems, a domain he and his colleagues have called agile science. He has over 100 publications that span the many disciplines he contributes and has an active federal and foundation funding. He is recognized internationally as an expert in the area of digital health.

Vickie Mays is a Professor in the Department of Psychology and Director of the UCLA Center on Research, Education, Training and Strategic Communication on Minority Health Disparities (www.MinorityHealthDisparities.org). Professor Mays' research primarily focuses on the mental and physical health disparities affecting racial and ethnic minority populations. She has a long history of research and policy development in the area of contextual factors that surrounding HIV/AIDS in racial and ethnic minorities. Her mental health research examines availability, access and quality of mental health services for racial, ethnic and sexual minorities. She is the Co-PI of the California Quality of Life Survey, a population based study of over 2,200 Californians on the prevalence of mental health disorders and the contextual factors associated with those disorders. She has received a number of awards including one for her lifetime research on women and HIV from AMFAR, a Women and Leadership Award from the American Psychological Association and several Distinguished Contributions for Research awards.

Vinay Pai is a Digital Health Specialist in FDA’s Center for Devices and Radiological Health, Office of Strategic Partnerships and Technology Innovation, Division of Digital Health. Before joining FDA in Sept. 2019, Vinay served at the National Institutes of Health, first as a staff scientist in the National Heart, Lung, and Blood Institute (working on MRI and CT technology development and image processing, and researching cardiac function in humans and mice models) and then as a program officer and division director for biomedical imaging informatics and health informatics in the National Institute of Biomedical Imaging and Bioengineering. Before NIH, Vinay was a member of the faculty at New York University School of Medicine, developing techniques using proton and hyperpolarized helium magnetic resonance imaging to study cardiac and lung function. Vinay has a PhD in mechanical engineering from Florida State University, and an MBA from Johns Hopkins University.

Bonnie T. Zima, MD, MPH is Professor-in-Residence in the UCLA Department of Psychiatry and Behavioral Sciences, and Associate Director of the UCLA Center for Health Services and Society. Dr. Zima’s research is dedicated to improving the quality of child mental health care, with priority placed on children enrolled in Medicaid-funded outpatient programs and underserved, at risk child populations. Her research spans national pediatric hospitalization resource utilization and costs, validity of national quality measures, pediatric integrated care models, pediatric workforce development, and use of telehealth and mobile health technologies. She is Principal Investigator (PI) of a five-year study to pilot test integrated care models for children in two federally qualified health care centers in Chicago, an ongoing study that developed and pilot-tested MH2™, Mobile Health for Mental Health, a web-based application to optimize stimulant medication treatment for children with ADHD. Dr. Zima is also Co-Investigator on a three-year PCORI-funded randomized trial of a telehealth intervention to improve access to community-based child mental health programs from pediatric primary care clinics, a 5-year SAMHSA-funded intervention to improve pediatric work force training related to child complex trauma, lead child psychiatrist on the California Performance Outcomes Measures Study, and core PI for a recently funded five-year study examining the impact of child crisis intervention programs in 16 California counties. Her research has received all three national research awards from the American Academy of Child and Adolescent Psychiatry (AACAP).

Predrag (Pedja) Klasnja is an associate professor at the School of Information and holds a joint appointment with the Department of Health Behavior and Health Education in the School of Public Health at the University of Michigan. He is a member of the Michigan Interactive & Social Computing group, an interdisciplinary group of researchers interested in human-computer interaction and social computing. Dr. Klasnja received a PhD in information science from the Information School at the University of Washington. He then served as a National Library of Medicine Postdoctoral Fellow in the Division of Biomedical and Health Informatics at the University of Washington. Dr. Klasnja joined the SI faculty in July 2012, and his areas of interest include human-computer interaction, health informatics, and mobile computing.

Inbal (Billie) Nahum-Shani is an Associate Professor at the Institute for Social Research and a co-director of the d3lab (Data Science for Dynamic intervention Decision-making lab) at the University of Michigan. Her research focuses on conceptual and methodological issues relating to building effective Adaptive Interventions—a treatment design in which ongoing information from the person is used to individualize the type/dose/modality of support (or treatment); and just-in-time adaptive interventions (JITAIs) —a special form of adaptive interventions in which mobile devices are used to provide support in a timely and ecological manner. Of particular interest are JITAIs aiming to engage participants in treatment. Much of her research focuses on developing methodologies relating to factorial designs, sequential multiple assignment randomized trials (SMARTs) and micro-randomized trials (MRTs).

Dr. Pfammatter is a Licensed Clinical Health Psychologist at Northwestern University Feinberg School of Medicine. She has an extensive background teaching graduate students and junior investigators in best practices for conducting team science. She is also an experienced facilitator of team science workshops focused on team assembly, launch, and maturation. Dr. Pfammatter’s wide range of research interests center around exploring the optimization of health behavior change to treat and prevent chronic conditions such as obesity, cardiovascular disease and diabetes, including investigating technology supported interventions for the purpose of health behavior change. Specifically, Dr. Pfammatter develops smartphone applications, explores the use of wireless sensors, and investigates behavioral mechanisms that support positive health outcomes in adults.

Dr. Will Aklin is Chief of the Clinical Research Grants Branch (CRGB) within the Division of Therapeutics and Medical Consequences (DTMC) at the National Institute on Drug Abuse (NIDA). CRGB supports research grants to test medications, behavioral therapies (including digital therapeutics), and device-based treatments for substance use disorders in several key areas: controlled compound assessment clinical pharmacology studies, controlled clinical trials for new treatment agents or new indications for marketed medications/devices and clinical studies of the pharmacological effects; and interactions among experimental addiction medications and medications for associated medical conditions and psychotherapeutic agents. The Branch also supports experimental pharmacotherapy studies to enhance the efficacy of approved marketed medications, and experimental pharmacotherapy studies of psychotropic or other medications used in the treatment of mental disorders in drug dependent individuals including drug-induced or drug-related mental disorders. Dr. Aklin received his Ph.D. in Clinical Psychology from the University of Maryland and performed his Clinical Psychology internship at Yale University School of Medicine and a Post-Doctoral fellowship at Johns Hopkins School of Medicine Behavioral Pharmacology Research Unit. Will has directed the Behavioral Therapy Development Program (BTDP) within DTMC since 2015. In this capacity he developed a robust behavioral therapy research program and portfolio focused on integrative interventions that involve the development of behavioral therapies to improve the effect of a pharmacological treatment or therapeutic devices and established strategic plans and research directions for behavioral treatments and digital therapeutics. Will’s program focuses on studies that seek to determine mechanisms of behavior change, within the context of behavioral treatment research (this may include behavioral, cognitive, social, affective, and/or neurobiological targets), as well as the use of neuroimaging tools to investigate the effects of behavioral interventions on the brain. Will is keenly interested in data replicability in treatment studies, behavioral science to inform treatment development, adherence to medications, and the elucidation of the mechanisms of action of successful behavioral and integrative treatments. He is the recipient of the College on Problem of Drug Dependence (CPDD)’s J. Michael Morrison Award and several NIDA and NIH Director’s awards. He has been tapped by NIH and NIDA leadership to coordinate several NIH flagship initiatives, including partnering with NIAAA and NCI on the development and testing of behavioral therapies for drug and alcohol use disorders; Common Fund initiatives, including Science of Behavior Change; Helping to End Addiction Long-Term (HEAL) Initiative; partnerships with the Food and Drug Administration (FDA) on digital therapeutics and device-based treatments for substance use disorders; and co-lead of the NIDA Racial Equity Initiative (REI).

Richard Conroy, Ph.D., M.B.A., joined the NIH Office of Strategic Coordination in 2017 and leads a number of trans-NIH Common Fund programs, including HuBMAP and SMaHT, as well as participating in a number of initiatives including Post-Acute Sequelae of COVID (PASC) and RADx-Tech. Prior to joining the Office, Richard was the Director of the Division of Applied Science and Technology at the National Institute of Biomedical Imaging and Bioengineering (NIBIB), where we oversaw the institute’s portfolio of programs in biomedical imaging. Richard received his Ph.D. from the University of St. Andrews and MBA from the University of Maryland Global Campus.

Dr. Luke Stoeckel directs the Mechanistic and Translational Decision Science in Aging Research Program in the Division of Behavioral and Social Research (BSR) at NIA. Dr. Stoeckel’s portfolio includes research in affective, reward/motivation, social, and decision neuroscience of aging; as well as fundamental and translational research on neuropsychological and behavioral phenotypes and mechanisms of behavior change relevant to both normal aging and Alzheimer’s disease and related dementia (AD/ADRD). Dr. Stoeckel has an AB in Psychology from Harvard College, PhD in Medical (Clinical) Psychology from the University of Alabama at Birmingham and he completed internship and postdoctoral training in clinical neuropsychology and cognitive neuroscience at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS). Prior to joining the NIA, he was the Director of the Cognitive and Clinical Neuroscience of Obesity and Diabetes program at the National Institute of Diabetes and Digestive and Kidney Diseases. Prior to joining NIH, he was the Director of Clinical Neuroscience at the MGH Center for Addiction Medicine, Assistant Professor of Psychology in the Department of Psychiatry at HMS, and a Visiting Scientist at the McGovern Institute for Brain Research at the Massachusetts Institute of Technology.

NIH / NCATS Funding Insights: Translational Science Dr. Audie Atienza is a senior program officer at the National Center for Advancing Translational Science (NCATS), National Institutes of Health (NIH). Prior to joining NCATS, Dr. Atienza served as a senior program officer at the National Institute on Aging (NIA) and National Cancer Institute (NCI). He previously worked on special assignments to the NIH Office of the Director and to the HHS Immediate Office of the Secretary as a senior advisor. He has collaborated with the White House (OSTP, VPOTUS, FLOTUS), Office of the U.S. Surgeon General, Office of the National Coordinator for Health IT, and Office of the Chief Privacy Officer. Dr. Atienza has contributed to various NIH-wide research efforts including the NIH Roadmap Initiative; NIH Genes, Environment and Health Initiative (GEI); mHealth Summit; NIH Big Data to Knowledge (BD2K) Initiative; and the NIH REsearching COVID to Enhance Recovery (RECOVER) Initiative.

Dr. Bill Elwood serves as the Chief of the Behavioral and Social Sciences Research Branch. Prior to joining NIDCR, he served as a health scientist administrator for the NIH Office of Behavioral and Social Sciences Research (OBSSR). In that role, he led NIH-wide initiatives to increase the breadth and scope of research on basic behavioral, sociological, and biopsychosocial processes that influence health-related behaviors. He also facilitated NIH-funded researchers to augment intervention studies with behavioral, sociological, or biopsychosocial variables to facilitate more precise understanding of the mechanisms and processes that lead to healthier behavior change and maintenance. Dr. Elwood facilitated the NIH-wide Behavioral and Social Science Opportunity Network (OppNet) from 2010-2022. He managed the annual NIH Matilda White Riley Early Stage Investigator Honors competition since its founding in 2016 through 2024. He also served as scientific review officer for the Center for Scientific Review’s Community-Level Health Promotion study section. Dr. Elwood obtained his Ph.D. in communication and health policy from Purdue University. Prior to joining NIH, Dr. Elwood conducted funded research throughout the United States and Mexico on healthcare delivery, mental health, substance abuse, family health and wellbeing, public housing-based initiatives, and STI/HIV prevention. He is particularly interested in research that synthesizes and expands discipline-specific knowledge to generate interventions that have a more powerful impact on the public’s health.

Dr. Maggie Sweeney is a Program Officer within the Division of Services and Intervention Research at the National Institute of Mental Health (NIMH). She has a dual role with the Office of Research Training and Career Development and the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs. She is also a member of the NIMH Disparities Team, whose mission is to promote innovative research to enhance understanding of mental health disparities and minority mental health, and to reduce mental health disparities and promote mental health equity. Dr. Sweeney has given invited presentations to academic and lay audiences, including at community clinics and community advocacy leadership development training programs. Before joining NIMH in 2022, Dr. Sweeney was an Assistant Professor of Psychiatry and Behavioral Sciences at Johns Hopkins University School of Medicine. Her prior research applied learning and reinforcement processes to develop and test behavioral and pharmacological treatments in real-world implementation settings. Her position at NIMH leverages her prior experiences with clinical trials, digital therapeutics, and small business collaboration. Dr. Sweeney completed her postdoctoral training at the Behavioral Pharmacology Research Unit at Johns Hopkins University, and she obtained her doctoral degree in Experimental and Applied Psychological Science from Utah State University.

NIH Funding Insights: Small Business, Innovation Research, Nursing Research Dr. Bough is the Director of NINR’s Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) program and oversees a diverse portfolio of healthcare technologies. Prior to joining NIH, Dr. Bough was a Program Director at the National Institute on Drug Abuse (NIDA) for 12 years where he oversaw SBIR/STTR and research project grants focused on the discovery of new therapeutics for addiction (2008-2020). Prior to joining NIDA, Dr. Bough worked as a clinical pharmacologist at the US Food & Drug Administration/Center for Drug Evaluation and Research (2005-2008). He is interested in the development of innovative digital health and AI-based technologies to improve healthcare. Dr. Bough holds a B.S. degree in Biology from Gettysburg College and M.S. and Ph.D. degrees in Biology (neuroscience) from Georgetown University.

Dr. Adam Haim is the Chief of the Treatment and Preventive Intervention Research Branch and the Chief of the Small Business Innovation Research and the Small Business Technology Transfer program within the Division of Services and Intervention Research at the National Institute of Mental Health (NIMH). Dr. Haim provides institute wide leadership in intervention science, including research focused on enhancing and personalizing interventions to ensure that they are maximally effective and optimally matched to individual needs. Dr. Haim is considered an expert in technology development and serves on numerous review committees, and external advisory boards. Dr. Haim is a licensed clinical psychologist and earned his doctoral degree in clinical psychology from State University of New York at Albany and completed his research fellowship at the NIMH Intramural Program in the Division of Clinical Neuroendocrinology.

Dr. Dave Clark is chief of the Implementation Science Branch Center for Translation Research & Implementation Science at the National Heart, Lung and Blood Institute. He maintains a portfolio of grants focusing on rigorous testing of complementary and integrative health approaches and dissemination and implementation strategies for efficacious interventions. This includes pain management, treatment of military and veteran populations, health services research, economics, Electronic Health Record meaningful use, and SBIRT (Screening, Brief Intervention, and Referral to Treatment). Prior to joining NHLBI, Dr. Clark had an extensive work history in oral health research, with 8 years as a program officer at the National Institute of Dental and Craniofacial Research, and in the substance abuse field, including 4 years of research at the University of Kentucky Center on Drug and Alcohol Research and more than 13 years of direct patient care at the VA Medical Center San Diego. He received his Dr.P.H. in epidemiology from the University of Kentucky and his M.P.H. in health services administration from San Diego State University.

Dr. Jill Mattia is the Director of the Behavioral and Social Sciences (BSS) Research Program in the Behavioral and Social Sciences Research Branch at NIDCR. The BSS Research Program is focused on behavioral health promotion research in health care settings that ultimately impact dental, oral, and craniofacial health and their related indices. Such research includes (but is not limited to): -Clinical trials, intervention trials, assessment, and evaluation -Prevention, health promotion, and health maintenance -Healthcare system and recording system change (e.g., technology, provider network interactions, clinician-driven aspects to behavioral health care, etc.) -Test construction -Readiness for treatment and family collaboration Prior to joining NIDCR, Dr. Mattia was an Evaluation Officer and a Review Policy Subject Matter Expert in the Office of Extramural Programs (OER) in the NIH Office of the Director. While in OER, she led program evaluations and analysis initiatives regarding award portfolios, policy, and business unit processes receiving competitive evaluations funds. Before joining OER, Dr. Mattia was responsible for scientific strategic planning and policy analysis at the National Institute on Minority Health and Health Disparities as well as trans-NIH plans and reports on minority health and health disparities produced for the White House and Congress. Dr. Mattia is a Clinical Psychologist with approximately 20 years of experience in clinical research. She received her undergraduate and graduate degrees from The University of Connecticut and the State University of New York at Albany, respectively, and completed a clinical psychology internship at the Eastern Pennsylvania Psychiatric Institute at the Medical College of Pennsylvania. She went on to a postdoctoral fellowship at the Brown University Clinical Psychology Training Consortium and stayed at the Warren Alpert Medical School at Brown University as an Assistant Professor (Research), Rhode Island Hospital and Butler Hospital. Dr. Mattia’s extramural research focused on psychiatric disorder assessment; cognitive-behavioral therapy; anxiety, mood, and personality disorders; with three extramural National Institute of Mental Health grants in psychiatric diagnostic assessment. Her background includes expertise in research design and quantitative methods, comparative treatment outcome investigations, diagnostic assessment, psychiatric nosological boundaries, and surveys and test construction.

Dr. Jeon is an Associate Professor of Advanced Quantitative Methods at the UCLA Department of Education. Her research revolves around developing, applying, and estimating latent variable models for studying measurement, response processes, and individual differences. Dr. Jeon also has a keen interest in developing computational methods and software programs. Recent research topics include team science network analysis and joint analysis of behavioral and biological process data.