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 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.

Donna Spruijt-Metz is Director of the USC mHealth Collaboratory at the University of Southern California’s Center for Economic and Social Research, and Professor of Research in Psychology and Preventive Medicine. Her research focuses on childhood obesity and mobile health technologies. In 2015, she received the Obesity Society’s eHealth/mHealth Pioneer Award for Excellence in the Field. Her main interests include using mobile technologies to develop data sets that combine sensor and self-report data that is continuous, temporally rich, contextualized. Using this data along with innovative modeling techniques, she wants to develop dynamic, contextualized mathematical models of health-related behavior. She was one of the first to undertake a just-in-time, adaptive intervention (JITAI) in youth, and envisions most or all interventions being JITAI in the future. She is PI of Virtual Sprouts, a virtual, multiplatform gardening game designed to change dietary knowledge and behavior and prevent obesity in minority youth. She also leads a new project, the Monitoring & Modeling Family Eating Dynamics (M2FED) project, funded by NSF She led an NSF/EU/NIH-funded workshop in Brussels on building new computationally-enabled theoretical models to support health behavior change and maintenance in 2012. This workshop led to several publications, and a host of new collaborations. In September, she led a follow-up NSF-funded international workshop in London. Her work meshes 21st century technologies with transdisciplinary metabolic, behavioral and environmental research in order to facilitate the development of dynamic, personalized, contextualized behavioral interventions that can be adapted on the fly.

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. Spring is a Professor of Preventive Medicine, Psychology, Psychiatry, and Public Health at Northwestern and Director of the Center for Behavior and Health - Institute for Public Health and Medicine. She also serves as Team Science Director for NUCATS, Northwestern’s CTSI, and Co-Program Leader for Cancer Prevention. Her research program focuses on the development and evaluation of technology supported interventions to promote healthy change in multiple chronic disease risk behaviors (particularly poor quality diet, overeating, physical inactivity, and smoking). She began conducting trials using connective mHealth technologies to promote healthy lifestyle change in the era when palm pilots were cutting edge technology. Current NIH- and American Heart Association (AHA)-funded mHealth studies by her group involve the use of wearables in the MD2K JITAI to prevent relapse to smoking, MOST factorial and SMART trials to treat obesity, and a cluster randomized trial to preserve and promote college student health. She is currently Chairperson of the NIH Psychosocial Risk and Disease Prevention standing study section, and her research has been funded continuously for more than 30 years. A past president of the Society of Behavioral Medicine (SBM), she is a recipient of SBM’s Distinguished Research Mentor and Research to Practice Translation awards. A winner of The Obesity Society’s e-Health Pioneer Award, she is founding editor of Translational Behavioral Medicine: Practice, Policy, Research, and served as Chairperson of the American Psychological Association’s (APA) Board of Scientific Affairs and AHA’s Behavior Change Committee and member of the APA’s Advisory Steering Committee to establish Practice Guidelines. For many years, she has served as faculty for the NIH Summer Training Institute on Behavioral Clinical Trials and NIH Training Institutes on Mobile Health. She is Principal Investigator of Northwestern’s NIH T32 Postdoctoral Training Program in Behavioral and Psychosocial Aspects of Cancer Prevention and Control and has been primary mentor for 22 individual mentored career development awards. Her NIH-funded learning modules on evidence-based practice (www.ebbp.org) and the science of team science (www.teamscience.net) are freely available online.

Dr. Audie Atienza joined the National Institute on Aging as a senior program officer in 2019. He obtained his B.A. in psychology from the University of California at San Diego, and his Ph.D. in clinical psychology from Kent State University. Following his clinical psychology internship at the VA Palo Alto Health Care System as a behavioral medicine intern, Dr. Atienza was selected as a post-doctoral research fellow in cardiovascular disease epidemiology and prevention at the Stanford University School of Medicine. From 2002-2015, he served as a program officer at the National Cancer Institute in the Behavioral Research Program. He previously worked on special assignments to the Office of the Director at the National Institutes of Health and to the Office of the Secretary at the Department of Health and Human Services 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 Information Technology, and Office of the Chief Privacy Officer. Prior to coming to National Institute on Aging, Dr. Atienza was a senior fellow in the biomedical informatics group at ICF. His scientific foci include family caregiving, stress and coping, technology and health, behavioral interventions, disease prevention, real-time data capture, data science, and big data.

Deborah Estrin is a Professor of Computer Science at Cornell Tech in New York City where she founded the Jacobs Institute's Health Tech Hub. She holds The Robert V. Tishman Founder's Chair and serves as the Associate Dean for Impact. Her research interests are at the intersection of user-centric data applications, personalization, and privacy (TEDMED). Estrin co-founded the non-profit startup, Open mHealth and has served on several scientific advisory boards for early stage mobile health startups. She is currently serving as a part-time Amazon Scholar. Before joining Cornell University Estrin was the Founding Director of the NSF Center for Embedded Networked Sensing (CENS) at UCLA; pioneering the development of mobile and wireless systems to collect and analyze real time data about the physical world. Her honors include: ACM Athena Lecture (2006), Anita Borg Institute's Women of Vision Award for Innovation (2007), The American Academy of Arts and Sciences (2007), The National Academy of Engineering (2009), The IEEE Internet Award (2017), MacArthur Fellow (2018), and The National Academy of Medicine (2019).

Dr. Hnat is Chief Software Architect for the MD2K Center. He previously served as Assistant Professor of Computer Science at the University of Memphis. His research interests cover several areas of the construction and evaluation of distributed systems, including compilers, programming languages, networking, and wireless sensor networks. He seeks to harness the potential of distributed systems to affect and interact with the physical world to address mHealth issues.

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.

Kay Wanke Ph.D., M.P.H. joined the ODP in March 2013 as the Deputy Director of the Tobacco Regulatory Science Program (TRSP), which coordinates the trans-NIH collaborative effort with the FDA’s Center for Tobacco Products (CTP) to foster tobacco regulatory research. She first began assisting the FDA CTP in establishing their research programs while working as a program officer at the National Institute on Drug Abuse (NIDA) in the Epidemiology Research Branch. There, she co-led the development of the program for the Tobacco Centers of Regulatory Science and helped coordinate CTP’s collaborative efforts across the NIH Institutes. Dr. Wanke received her Ph.D. in clinical psychology from Southern Illinois University at Carbondale and completed her pre-doctoral internship at the University of Alabama at Birmingham School of Medicine. Her training and clinical experience include child psychology, forensic psychology, substance abuse, serious mental illness, marriage and family therapy, and developmental and neuropsychological assessment. She initially came to the NIH in 2001 as a Cancer Prevention Fellow at the National Cancer Institute. While in that fellowship, she completed her M.P.H. at the Harvard School of Public Health and conducted research in tobacco use and depression, factors associated with adherence, strategies to improve smoking phenotype definition, and behavioral genetics of smoking cessation.

Richard Conroy, Ph.D., M.B.A., joined the NIH Office of Strategic Coordination in 2017. 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. While at NIBIB, he also served as a coordinator for the Common Fund Single Cell Analysis and 4D Nucleome Programs. Richard received his Ph.D. from the University of St. Andrews and MBA from the University of Maryland University College.

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

Joel Kehle joined UCLA TDG in August 2017. In his role as Technology Transfer Officer, Joel manages a portfolio of database, algorithm, artificial intelligence, bioinformatics, and other types of computer science technologies. He has over 20 years of industry experience in information technology and software development. Joel spent over 10 years at Qualcomm focused on cloud computing, enterprise architecture, infrastructure automation, and middleware software. Additionally, he served as Vice President, Technology for multiple startup companies incubated at Idealab in Los Angeles. Joel earned his Bachelor of Science in Computer Science from the Massachusetts Institute of Technology (MIT).

Inbal (Billie) Nahum-Shani is an Associate Professor at the Institute for Social Research, University of Michigan. Her research integrates Occupational Health Psychology and Quantitative Psychology to (a) develop technology-based supportive interventions for reducing stress and preventing problem behaviors among young adults and employed individuals; and (b) building adaptive interventions that are delivered via mobile devices and that provide support in real-time to people as they go about their daily lives (Just-in-Time Adaptive Interventions). She is a founding member and co-director of the d3lab (Data Science for Dynamic intervention Decision-making lab) at the University of Michigan.

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).

Cody Diefenthaler is Manager of Interactive Development at the Florida Center for Interactive Media at Florida State University. He has spent over a decade learning and exploring emerging technologies and techniques for creating intuitive, practical solutions for public sector e-learning needs, with a specialization in game-based experiences. He partners with researchers to operationalize their expertise into immersive digital applications and systems that satisfy the goals of their studies. He currently manages the technology platform for Harvard's Reach Every Reader K-2 Screener, an empirically-derived literacy assessment game. Additionally, he is working in partnership with the University of Michigan, Vanderbilt, UCLA, and within the FSU community to design, develop, and deliver various game-based and research-backed digital applications.

Gillian is the Robert A. and Barbara L. Kleist Professor of Informatics in the School of Information and Computer Sciences and in the School of Education and School of Medicine at UC Irvine. She is also the Vice Provost for Graduate Education and Dean of the Graduate Division at UC Irvine. Her research interests are in human-computer interaction, ubiquitous computing, assistive technologies, and health informatics. She designs, develops, deploys, and evaluates technologies to empower people to use collected data to address real human needs in sensitive and ethically responsible ways. Her work on community-based design and action research led to her winning the SIGCHI Social Impact Award in 2019.

Predrag (Pedja) Klasnja is an assistant 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.

Dr. Camille Nebeker is an Assistant Professor in the School of Medicine at the University of California, San Diego. Dr. Nebeker is affiliated with the Divisions of Behavioral Medicine and Global Health in the Department of Family Medicine and Public Health. She also holds an adjunct faculty appointment with the San Diego State University Graduate School of Public Health and is an affiliated investigator with the UC San Diego Research Ethics Program. Dr. Nebeker’s research focuses on the design of research/bioethics educational initiatives designed for traditional and non-traditional learners with a goal of trainee’s understanding and appreciation of factors that influence the ethical and responsible conduct of research. Project BRIC (Building Research Integrity and Capacity), for example, has developed research ethics education for community members who have little/no formal academic research training yet, assist academic researchers to implement community- and clinic-based health research. Dr. Nebeker is also exploring the ethical dimensions of biomedical research (i.e., informed consent, risk assessment, data management) that leverages emerging technologies to collect personal health data (PHD). Dr. Nebeker is project director/principal investigator for the Connected and Open Research Ethics (CORE) initiative supported by the Robert Wood Johnson Foundation (RWJF) and the UC San Diego Chancellor’s Interdisciplinary Collaboratory Fellowship program and Project BRIC, which is supported by the federal Office of Research Integrity (ORI). Dr. Nebeker’s research has received continuous support from intra/extramural sources since 2002.

Dr. David Elashoff is a Professor of Medicine and Biostatistics at UCLA and Director of the Department of Medicine Statistics Core. He serves as Leader for the Biostatistics, Study Design and Clinical Data Management Program (BSD-CDM) for the UCLA CTSI. His main areas of statistical research are in developing statistical methods for the analysis of high throughput genomic and proteomic data. He has extensive collaborative experience on a variety of basic science, clinical research and clinical trials projects, including those with members of the School of Dentistry, Department of Medicine, Jonsson Comprehensive Cancer Center (JCCC), School of Nursing, and investigators at their partner institutions. As an investigator on the BSD-CDM, he collaborates with program leaders to implement the CTSI-wide network of biostatistics consulting services and develop joint research in genomics, proteomics, bioinformatics and clinical correlates. His collaborations with the Boston University CTSA have led to new funding this year from the NCI Early Detection Research Network Biomarker Discovery Laboratory Grant, identifying and validating early detection lung cancer biomarkers. He will continue to collaborate with CTSI investigators in both general statistics and in microarray and other genomic analysis. His membership on the Cancer Biomarkers Study Section of the NCI will continue and provide valuable insight to biomarkers and clinical relationships.

Dr. Eric Hekler, PhD, is an Associate 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.

Benjamin M. Marlin joined the College of Information and Computer Sciences at the University of Massachusetts Amherst in 2011. His current research centers on the development of customized probabilistic models and algorithms for time series with applications to the analysis of electronic health records and mobile health data. His recent work includes probabilistic models for analyzing wireless ECG data, detection of cocaine use from wireless ECG, hierarchical activity recognition from on-body sensor data with applications to smoking and eating detection, and methods for mitigating lab-to-field generalization loss in mobile health studies. Marlin is a 2014 NSF CAREER award recipient. His research has also been supported by the National Institutes of Health, the Patient-Centered Outcomes Research Institute, and the US Army Research Laboratory. Prior to joining UMass Amherst, Marlin was a fellow of the Pacific Institute for the Mathematical Sciences and the Killam Trusts at the University of British Columbia. He completed his PhD in machine learning in the Department of Computer Science at the University of Toronto.

Megha joined UCLA TDG in December 2018 and manages a Medtech portfolio. She was previously a Senior Licensing Officer at UC Irvine after which she joined the Bill and Melinda Gates Foundation as an Attorney and Assistant General Counsel for Global Health. She was then Assistant VP for Research and Economic Development at Cal State University. Megha has a B.S. in Biological Sciences from UC Irvine, a Ph.D. in Physiological Sciences and Genetics from UCLA, and a J.D. from Maurer School of Law, Indiana University.

Dr. Hansen's work focuses on the use of latent variable models (item response theory and cognitive diagnosis models, in particular) to support the design of assessments used in educational, psychological, and health-related research. This has included the development and evaluation of methods for estimating such models and for examining the extent to which they fit real data. Hansen is also interested in approaches for characterizing the validity and reliability of assessment-based judgments. Hansen currently serves as a senior researcher at CRESST.