Editorial Board
Editor-in-Chief
Lorraine R. Buis, PhD, MSI
Associate Professor, Department of Family Medicine; School of Information, University of Michigan
As a health services researcher, Dr. Buis has a strong social science background and has trained in areas of psychology, human-computer interaction, information studies, and mass media. She conducts research in the area of mobile health for chronic disease self-management, with a particular emphasis on consumer-facing technologies to improve hypertension and diabetes management, often in underserved communities.
Dr. Buis has a long history of working on externally funded research to develop, implement, and evaluate mobile interventions for lifestyle and behavior change. As a skilled builder of multidisciplinary teams, she enjoys bringing together teams from diverse backgrounds to work together to improve human health and advance the state of the science for digital health. Dr. Buis has been involved with JMIR Publications for nearly 20 years, starting as a reader, author, and reviewer, and serving as a Section Editor for the Journal of Medical Internet Research for 4 years before taking on the role of Editor-in-Chief for the Journal of mHealth and UHealth in 2020.
Katherine Prairie, MSc, Managing Editor
Associate Editors
Join the Editorial Board
FAQ Article How to become an EB member
Nazlena Mohamad Ali, PhD
Senior research fellow; Associate Professor, Institute of Visual Informatics, Universiti Kebangsaan Malaysia
Dr. Nazlena Mohamad Ali's primary research interest is Human-Computer Interaction. She is involved with several research projects related to the study of UI/UX, developing interactive systems and mobile applications, persuasive technologies and design, and digital games for specific target users such as older adults and many others. Her research has resulted in over 100 papers published in a variety of journals and conference proceedings.
Ranganathan Chandrasekaran, PhD
Professor, Biomedical and Health Information Sciences, Information and Decision Sciences, University of Illinois at Chicago; Associate Director of the UIC Institute for Equitable Data Science Research, Illinois
Dr. Chandrasekaran's research focuses on the intersection of healthcare analytics, artificial intelligence, and digital business transformation. His interdisciplinary work spans multiple domains, including healthcare data systems, AI-driven decision-making, and improving health equity through technology. Ranga has secured over $4 million in research funding and has authored more than 60 peer-reviewed publications in leading health informatics and information systems journals.
Filipe Clemente, PhD
Assistant Professor, Sport Sciences-Sports Training, Instituto Politécnico de Viana do Castelo, Portugal
Dr. Clemente's research in sports training, specifically, athletic performance, fitness assessment, and monitoring, has led to more than 330 publications in journals with impact factor. He is in the top 0.04% of the Expertscape list for the specific field of soccer and is ranked in the 2022 list of the world’s most-cited scientists.
David Cox, PhD, MSB, BCBA-D
Behaviour Scientist, Behavioral Data Science Research Lab, Institute for Applied Behavioral Science, Endicott College, Massachusetts
Dr. Cox has worked at the intersection of data science and behavior science for almost 20 years as a clinician, academic researcher, and technologist. His current basic research focuses on judgment and decision-making; his translational research focuses on clinical-ethical decision-making and how clinicians can interact with artificial intelligence to optimize their clinical-ethical decision making; and his applied research focuses on building scalable artificial intelligence systems to support clinical decision-making in healthcare settings.
Sreyasee Das Bhattacharjee, PhD
Assistant Professor of Research & Teaching in the Department of Computer Science & Engineering, State University of New York (SUNY) at Buffalo, New York
Dr. Das Bhattacharjee's primary research interests lie in Multimodal Data Analytics, Generative AI, and Interactive Machine Learning. She has led several research projects to develop intelligent and interactive assistive technologies for healthcare and other domains such as social media, education, and law enforcement. Most of her research efforts are driven by two pervasive issues which continue to threaten reliable progress of AI-powered technology advancement: data scarcity and temporally evolving data patterns.
Michael Dorsch, PharmD, MS, FCCP, FAHA, FACC
Professor of Pharmacy, Lynda S. Welage Collegiate, Minnesota; Associate Professor of Clinical Pharmacy, College of Pharmacy, University of Michigan
Dr. Dorsch is a pharmacist and clinical researcher who has made significant contributions to the field. His studies on digital health technology's effects on cardiovascular disease outcomes have earned him recognition as a Fellow of the American College of Clinical Pharmacy, American Heart Association, and American College of Cardiology. His research focuses on just-in-time adaptive interventions (JITAIs) to lower sodium intake in hypertension and self-monitoring in heart failure to promote patient self-management strategies.
Badicu Georgian, PhD
Associate Professor, Department of Physical Education and Special Motricity, Transilvania University of Braşov, Romania
Dr. Georgian's research focuses on physical activity, physical fitness, quality of life, sleep, public health, obesity, well-being, and fundamental movement skills of students. His previous research included focused on physical education, and physical activity of adults.
Marco Giurgiu, PhD
Post-doctoral Researcher, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), Germany
Dr. Giurgiu's research examines associations between device-based measured physical behavior and momentary psychological outcomes by using innovative data collection approaches in real-time, such as smartphone diaries. He also focuses on validating wearables for the assessment of 24-hour physical behavior.
Chi-Yan Hui, PhD
Digital Health Scientist, visiting fellow, Deanery of Molecular, Genetic and Population Health Sciences, The University of Edinburgh
Dr. Hui's research is focussed on the sustainable development and implementation of digital health to enhance health outcomes while minimising carbon footprints. Her previous research includes investigating how patients and clinicians prefer to use technology to support effective respiratory self-management, building trust between AI, patients, and clinicians to encourage adoption and sustainable utilisation, and using novel approaches to co-create evidence-based digital health with patient and public involvement (PPI). She is is a Chartered Engineer registered with the Institution of Engineering and Technology.
Zilu Liang, PhD
Associate Professor, Ubiquitous and Personal Computing Lab, Faculty of Engineering, Kyoto University of Advanced Science, Japan
Dr. Liang’s research focuses on developing digital biomarkers and computational models for disease screening in free-living environments, using off-the-shelf wearable devices. She also works on advancing longitudinal data analysis techniques and interactive wearable technology to uncover personalized, actionable insights from self-tracking data for disease prevention. A passionate advocate of the Quantified Self movement, Dr. Liang is dedicated to harnessing technology to empower individuals in managing their health in everyday life.
Jason W. Mitchell, PhD, MPH
Associate Professor, Department of Health Promotion and Disease Prevention, Robert Stempel College of Public Health and Social Work, Florida International University
Dr. Mitchell's program of research intersects relationship science, public health, and digital tools to develop and evaluate accessible, dyadic programs for improving health and relationship outcomes with couples and other types of dyads. One core feature of his research is the blueprint digital tool platform he uses to optimize theoretically guided programs with embedded tailoring and customization options that can be used with a variety of end-users (eg, couples, other researchers, administrators, healthcare staff). The ultimate goal of his research is driven by the desire to provide scalable, effective programs that are broadly appealing and effective.
Zhao Ni, PhD, BMed, FAAN, FAHA
Assistant Professor, School of Nursing, Yale University; Director of International
Academic Partnerships and Programs, Yale Office of Global Affairs and Planetary
Health, Connecticut
Dr. Ni’s research focuses on leveraging digital technologies to prevent cardiovascular
disease and HIV/AIDS. He has conducted international research at the interface of
chronic diseases, infectious diseases, and mobile health (mHealth) in the U.S., China,
Nepal, Malaysia, Indonesia, Cameroon, and the Philippines. His work on developing
mHealth interventions using artificial intelligence (AI), augmented reality (AR), and
robotics to prevent cardiovascular disease and HIV/AIDS has demonstrated a high level
of expertise in digital health. Dr. Ni is one of the pioneering scientists studying how to
leverage chatbot technology to promote health.
Ramin Ramezani, PhD
Associate Adjunct Professor of Computer Science at UCLA; CEO/Co-founder of InvistaHealth, California
Dr. Ramezani's focus is on transforming healthcare with artificial intelligence through novel methodologies for data analysis, development of remote patient monitoring frameworks, and construction of healthcare ecosystems. His goal is to harnesses diverse data-generating activity, biomarker sensors, electronic health records and interactive tools to capture patient storylines outside of traditional care facilities. He has held various notable positions, including Research Scientist at UCLA's Center for SMART Health, Chief Technologist and Technical Director at UCLA David Geffen School of Medicine, and Chief Technologist in the Big Data and Analytical Unit, Department of Surgery and Cancer at Imperial College London.
Roman Shrestha, PhD, MPH
Assistant Professor, Department of Allied Health Sciences, University of Connecticut; Assistant Professor Adjunct at Yale University, Massachusetts; and Senior Lecturer in Medicine, University of Malaya, Malaysia
Dr. Roman Shrestha currently serves as the Principal Investigator on multiple NIH-funded and industry-funded grants. His research has primarily centered on interventions and implementation science at the interface of HIV and substance use with a particular focus on HIV prevention and treatment issues. Specifically, his work emphasizes on the design, delivery, and placement of biomedical and behavioral interventions for optimal use in various settings. He has conducted research in a range of settings, including community and healthcare, addiction treatment, and criminal justice settings, both domestically and internationally.
Johan N. Siebert, MD, PD, FMH
Deputy Head of Service in the Division of Pediatric Emergency Medicine at the University Hospitals of Geneva; founder and Director of the PEMS Research Network Scientific Committee, Switzerland
Dr Siebert's research focuses on the design, integration, and assessment of digital technologies in pediatric emergency care—including mobile apps, web services, mixed reality, and artificial intelligence—particularly through randomized controlled trials. He is deeply committed to advancing tailored eHealth solutions for pediatrics, laying the groundwork for improved, digitally-enabled care and bridging the digital divide in pediatric healthcare.
Michael Sobolev, PhD
Behavioral Scientist, Cedars-Sinai Medical Center; University of Southern California; Visiting scholar, Schaeffer Center for Health Policy and Economics, University of Southern California
Dr. Sobolev specializes in behavioral design and data science for health and wellness. Building on behavioral science concepts, he utilizes mobile technologies and data science to improve health and wellness. His research focuses on the design of mobile health (mHealth) studies and applications, the application of data science for personalizing and optimizing digital interventions, as well as a human-centered approach to technology design. He also actively contributes to the development of innovative products designed to foster improvements in health and overall wellness.
Molly Waring, PhD
Associate Professor, Department of Allied Health Sciences, University of Connecticut; UConn Center for mHealth & Social Media, Connecticut
Dr. Waring is an epidemiologist and Fellow of the Society of Behavioral Medicine (SBM). She has served as the PI of multiple grant-funded research projects related to the use of social media and technology for health promotion, specifically among perinatal persons and mothers. Her research focuses on the use of social media and digital tools for health promotion among perinatal persons and mothers. Her recent grant-funded studies have examined using Facebook to deliver a post-partum weight loss intervention, the feasibility of using Instagram to promote healthy eating and physical activity during pregnancy, online health information-seeking among pregnant persons and mothers, and how exposure to and engagement with evidence-based psychoeducational content via social media and podcasts impacts mothers’ mental health and parenting efficacy.
Junhong Zhou, PhD
Assistant Professor of Medicine, Hebrew SeniorLife Hinda and Arthur Marcus Institute for Aging Research, Harvard Medical School, Massachusetts
Dr. Junhong Zhou’s career goal is to help older adults preserve and enhance their functional
independence by designed new strategies to maximize balance and reduce the risk of falling. His specific research objectives are to: 1) identify the dynamic characteristics of human balance control in aging and age-related diseases, and 2) translate these discoveries into improved therapeutic strategies for older adults. To achieve these objectives, he has developed expertise in the application of novel wearable technologies to remotely measure the kinematics in human movement, nonlinear signal processing techniques to the physiological signals relating to human locomotor control and the non-invasive techniques to image and stimulate specific brain networks involved in the control of balance when standing and walking.
Advisors
David G. Schwartz, PhD
Director, Social Intelligence Lab, Bar-Ilan University, Israel
Dr. David G. Schwartz is professor of information systems, and former vice-chairman, at the Business School of Bar-Ilan University, Israel. He has published over 170 research papers, books, chapters, and editorials in the field of information systems and technologies in a variety of publications. His research has been funded through multiple grants from the National Institutes of Health (NIH), Israel Ministry of Science and Technology, and Taiwan Ministry of Science and Technology. Dr. Schwartz's research interests include mHealth, Cybersecurity, Social Network Analysis, and Computer-mediated Communications.
Past Editorial Board Members
John Ainsworth, MSc, Senior Research Fellow; Deputy Director of the Centre for Health Informatics, University of Manchester, England
Urs-Vito Albrecht, Dr med, MPH, Hannover Medical School, Germany; Peter L Reichertz Institute for Medical Informatics, Germany
Matthew Bars, MS, CTTS, IntelliQuit, USA; FDNY Tobacco Treatment Program, New York; WTC Medical Monitoring Program, USA; Jersey City Medical Center IQuit Smoking Center, USA
Yuki Byambasuren, MD, Centre for Research in Evidence-Based Practice, Bond University, Australia
Casimiro Dias, MBA, MPH, PhD, World Health Organization, Health Systems and Public Health, Geneva, Switzerland
Jing Li, PhD, Cerner Corporation, Kansas City, USA; State University of New York System, USA
Athanasios Tsanas ('Thanasis'), BSc, BEng, MSc, PhD, FHEA Usher Institute of Population Health Sciences and Informatics, Medical School, University of Edinburgh, UK
Katarzyna Wac, PhD, University of Geneva, Switzerland; University of Copenhagen, Denmark
Daidi Zhong, PhD, Bioengineering College at Chongqing University, China