| A.J. Aranyosi, Ph.D. Applications Engineering Manager, mc10 Partnership Interests: The BioStampRC system has an enormous range of potential research applications in human physiological research – biomechanics, exercise physiology, cardiovascular activity, neuromuscular function, etc. We would like to find partners who want to explore use cases in their own research areas. |
| Bojan Bostjancic, Ph.D. Co-Founder, Azumio Partnership Interests: Better understanding users’ data; connecting biometric, activity and clinical data to make coaching services more scalable and data driven. |
| Scott Bickel, Ph.D., PT Associate Professor, Department of Physical Therapy Associate Director, Center for Exercise Medicine University of Alabama at Birmingham Areas of Specialization: Exercise physiology; skeletal muscle physiology; exercise and special populations Relevant Use Cases for Physical Activity Wearables and Apps: monitoring, goal setting, health tracking |
| Riley Bove, M.D. Assistant Professor, Clinical Neurology, U.C. San Francisco Areas of Specialization: multiple sclerosis Relevant Use Cases for Physical Activity Wearables and Apps: I am working in the arena of multiple sclerosis (MS) with patients with broad range of disability and daily fluctuations in symptoms and function. I would like a device that does not depend on user *memory* (bracelet that does not need to be removed to be charged; other). Specifically, would be great to correlate *bladder* (frequency, retention, leakage) and *activity. |
| Ray Browning, Ph.D. Director, Category Footwear Research, Nike Sport Research Laboratory, Nike Areas of Specialization: Athletic footwear product innovation, locomotor musculoskeletal mechanics and physiology, physical activity monitoring Relevant Use Cases for Physical Activity Wearables and Apps: Performance assessment, training guidance, injury prevention, product development |
| Andrew Chang CTO, LUMO BodyTech Partnership Interests: fatigue detection, injury prevention |
| Jayanth Chakravarthy Senior Product Manager, Jawbone |
| Aaron Coleman Founder and CEO, Fitabase Partnership Interests: Obesity, Healthy Aging, Heart Disease, Cancer Treatment, Rehabilitation, Surgery Recovery, Pregnancy / Fertility Health Recommendations, Public Health, Urban Planning, Just In Time Adaptive Interventions, and general health and wellness guidelines. |
| Mark Cullen, M.D. Professor, Internal Medicine, Stanford University Director, Stanford Center for Population Health Sciences Associate of Stanford’s Child Health Research Institute, Bio-X, and CHP/PCOR Areas of Specialization: social and environmental epidemiologist Relevant Use Cases for Physical Activity Wearables and Apps: Provide behavioral data to better understand how different forms of activity impact health |
| Scott Delp, Ph.D. James H. Clark Professor of Bioengineering, Mechanical Engineering, and Orthopaedic Surgery, Stanford University Director, Mobilize Center Areas of Specialization: Biomechanics, Big Data, Walking, Running, Human Performance Relevant Use Cases for Physical Activity Wearables and Apps: Gait retraining |
| Matthew Diamond, M.D., Ph.D. Medical Director, Misfit Clinical Instructor, Rehabilitation Medicine, NYU School of Medicine Chair, Health and Fitness Technology Standards Committee, Consumer Technology Association Partnership Interests: Studies of physical activity, metabolism, and sleep — especially over long periods of time, and when it is important to minimize missing data due to non-wear time. |
| Mei Lin Fung Board Member, National University of Singapore America Foundation External Advisor, Center for Population Health Sciences, Stanford University Co-Founder with Vint Cerf, People Centered Internet Areas of Specialization: Customer Lifetime Value, Population Health Models, Community Health Improvement Relevant Use Cases for Physical Activity Wearables and Apps: Contribute data and access aggregated community level outcome information |
| Garry Gold, M.D. Professor, Radiology and (by courtesy) Bioengineering and Orthopedic Surgery, Stanford University Areas of Specialization: Radiology, Imaging Relevant Use Cases for Physical Activity Wearables and Apps: Elucidate the relationship between OA and activity |
| David Haddad Executive Director, Open mHealth Partnership Interests: how to make sure that data quality is good coming from disparate trackers |
| William Haskell, Ph.D. Professor (Active Emeritus) Prevention Research Center, School of Medicine, Stanford University Senior Scientific Consultant, Cooper Institute, Dallas Texas Areas of Specialization: Conduct of clinical trials and epidemiological evaluations of various sensors to demonstrate their value in linking movement behaviors to specific health outcomes. Relevant Use Cases for Physical Activity Wearables and Apps: Need to have a wearable that will provide accurate data 24/7 on each of the 24-hour activity cycle domains in specific populations of patients. |
| Conor Heneghan, Ph.D. Lead Research Scientist, Fitbit Partnership Interests: We are open to any areas where we believe Fitbit technologies can help people live healthier lives. We’re also always interested in striving to make our products as accurate as possible, so researchers who are interested in participating in validation studies or including us in their comparisons, are welcome to talk to us. |
| Jen Hicks, Ph.D. Director of Data Science, Mobilize Center, Stanford University Areas of Specialization: Applying principles and models from biomechanics and statistical learning to improve the diagnosis, treatment, and prevention of a broad host of conditions that limit human mobility. Relevant Use Cases for Physical Activity Wearables and Apps: Providing real world data about human dynamics to understand and help treat osteoarthritis, cerebral palsy, running injuries, and reduced physical activity in the population. |
| Asad Iqbal Head of Business Development, Pebble |
| Susan Holcomb Head of Data, Pebble Partnership Interests: What other data points, in combination with activity and sleep data, can deepen our understanding of individual health and wellness? What challenges might we face in translating our more research-oriented efforts into consumer-facing products? For which health conditions do activity and sleep behaviors have the biggest impact? |
| Rahul Jain, MPH Patient Generated Data Lead, Research for Action Health Network, Health Services Research, Louisiana Public Health Institute CEO, Digiscrips Corporation Areas of Specialization: data harmonization, data governance, health information exchange Relevant Use Cases for Physical Activity Wearables and Apps: Wearable devices and apps for physical activity should effect user behavior to meet clinically validated goals. Efficacy should be monitored, and the data harmonized with other available health care data types to produce new insight for a clinician or researcher. |
| Arun Jayaraman, Ph.D., P.T. Director, Max Nader Center for Rehabilitation Technologies & Outcomes Research, Rehabilitation Institute of Chicago Assistant Professor, Physical Medicine & Rehabilitation and Medical Social Sciences, Northwestern University Areas of Specialization: Clinical research, activity recognition, patient-specific classification Relevant Use Cases for Physical Activity Wearables and Apps: Large data set, high-resolution classification |
| Colonel Ray Jeter Chief Medical Information Officer, U.S. Air Force Areas of Specialization: Primary duties is Chief Medical Information Officer for AF. Very involved in R&D, Innovations, and Operational Medicine (HIT in austere, comm reduced, potentially hostile environments, HIT thru the spectrum of care Relevant Use Cases for Physical Activity Wearables and Apps: There is a prevention component and disease/injury resolution component. Depending on the device and how it is utilized in the greater plan for an individual. Also there is the potential to aggregate data for meta level analysis… |
| Isaiah Kacyvenski Global Head of Business Development, MC10 Partnership Interests: This is a research tool applicable to literally any area of research. |
| Rachel Kalmar, Ph.D. Data Scientist, Independent |
| Abby King, Ph.D. Professor, Health Research and Policy (Epidemiology) and of Medicine, Stanford University Areas of Specialization: public health interventions, technology-based interventions |
| Chul Lee, Ph.D. Director of Data Engineering & Science, Under Armour Connected Fitness |
| Jonathan Lee Director of Research, New Devices Group, Intel Partnership Interests: What clinical and research markets are most in need of novel applications of wearable device technology? |
| Jure Leskovec, Ph.D. Assistant Professor, Computer Science, Stanford University Areas of Specialization: data mining, social and information networks |
| Kate Lyden, Ph.D. Biomedical Researcher, Misfit, Inc. Adjunct Faculty Kinesiology Department, University of Massachusetts, Amherst Partnership Interests: The feasibility and utility of using such devices in clinical and research settings. The performance of “consumer” devices compared to devices traditional described as “scientific grade” |
| Ken Martin Director, WorkOut Cancer Research Fund; American College of Sports Medicine, Cancer Special Interest Group Areas of Specialization: Exercise and oncology. LOINC codes and physical activity measures Relevant Use Cases for Physical Activity Wearables and Apps: Collecting and publishing observational data is typically a slow process and limited by population recruitment. Wearables have the potential to significantly impact the speed and breadth of observational research and intervention studies. Patient surveillance can be enhanced with wearables and apps. |
| Michael McConnell, M.D., MSEE Head, Cardiovascular Health Innovations, Verily Life Sciences Professor of Medicine, Stanford (on leave) Partnership Interests: Performing clinical studies with well validated gold standards and outcomes in order to validate the value of sensor data in disease detection and management. |
| Gerald McGwin, Jr., Ph.D. Professor and Chairman, Department of Epidemiology, University of Alabama at Birmingham Director, Advanced Enterprise Analytics, University of Alabama Health System Areas of Specialization: Epidemiology; biostatistics Relevant Use Cases for Physical Activity Wearables and Apps: Objective measurement of activity and performance measures |
| Hormuz Mostofi Product Manager, Google Fit Platform, Google |
| Aaron Neinstein, M.D. Assistant Professor of Medicine, UCSF Director of Clinical Informatics, UCSF Center for Digital Health Innovation Areas of Specialization: Clinical Endocrinology / Digital Health Interoperability Relevant Use Cases for Physical Activity Wearables and Apps: In Endocrinology, having an understanding of our patients’ activity levels and other vitals monitoring could influence treatment decisions, not just in diabetes but in many Endocrine |
| Beau Norgeot Researcher, Center for Big Data in Translational Genomics, U.C. Santa Cruz Areas of Specialization: machine learning, genomics, pharmaceutical sciences, pharmacogenomics Relevant Use Cases for Physical Activity Wearables and Apps: Early warnings of adverse events, patient stratification |
| VJ Periyakoil, M.D. Clinical Associate Professor, Internal Medicine, Geriatrics, Stanford University School of Medicine Director, Stanford Palliative Care Education & Training Program Areas of Specialization: Internal Medicine, Geriatrics, Hospice and Palliative Medicine Relevant Use Cases for Physical Activity Wearables and Apps: I am interested in monitoring functional status and well-being of older adults and patients with chronic illnesses as well as their caregivers. Devices and apps can be used to provide live data over time to discern patterns that can help inform how we can improve patient quality of life. |
| Kate Possin, Ph.D. Assistant Professor, Neurology, University of California, San Francisco Areas of Specialization: Neuropsychology Relevant Use Cases for Physical Activity Wearables and Apps: Monitoring patients with dementia who are alone for part of the day |
| Jim Rehg, Ph.D. Professor, School of Interactive Computing, Georgia Institute of Technology Co-Director, Center for Computational Health, Georgia Institute of Technology Areas of Specialization: machine learning, mobile health (mHealth), behavioral imaging |
| Stephen Robinovitch, Ph.D. Professor and Canada Research Chair, Department of Biomedical Physiology and Kinesiology, and School of Engineering Science, Simon Fraser University, Canada Areas of Specialization: Biomechanics; Mobility and falls in older adults; Real-life data; Injury prevention Relevant Use Cases for Physical Activity Wearables and Apps: Translation of raw data from wearable devices into outcomes that are both biomechanically and clinically relevant. |
| Monica Rogati, Ph.D. Independent Data Science Advisor Equity Partner, Data Collective Former VP of Data, Jawbone Areas of Specialization: Data Science — using data to build products and find actionable insights at scale. Computer Science, Machine Learning Relevant Use Cases for Physical Activity Wearables and Apps: Organizational health and productivity |
| Mary Rosenberger, Ph.D. Exercise Scientist, Stanford Center on Longevity, Stanford University Areas of Specialization: evaluation of commercial physical activity monitors, physical activity for disease prevention, 24-hour model of activity Relevant Use Cases for Physical Activity Wearables and Apps: Creating a much clearer picture of how exercise, sedentary behavior, and sleep are related and how we can optimize our daily schedule for healthy activity. |
| Gisela Sandoval, M.D., Ph.D. Instructor, Psychiatry and Behavioral Sciences – Center for Interdisciplinary Brain Sciences Research, Division of Child & Adolescent Psychiatry & Child Development, Stanford University Areas of Specialization: Child and adolescent psychiatry, child behavior, ADHD, depression, anxiety , bipolar disorder, autism spectrum disorder, children with medical illnesses with psychiatric disorders such as children with type 1 diabetes and chronic pain. Background in molecular biology and genetics. Relevant Use Cases for Physical Activity Wearables and Apps: Provide quantifiable metrics of child behavior to better diagnosis mental illness and assess effectiveness of treatment, compliance and provide information that allows for preventive interventions. Provide triggers on when a child should come in to be seen by physician. Prevent injuries and long lasting medical consequences in committed young athletes that are in demanding sports such as gymnastics and figure skating from an early age. |
| Aenor Sawyer, M.D. Director, UCSF Skeletal Health Service Assoc Director, Strategic Relations, Center for Digital Health Innovation Areas of Specialization: Digital Health innovation, Health information interoperability, Exercise physiology, Orthopaedics Relevant Use Cases for Physical Activity Wearables and Apps: Gain insights into a person’s real world physical demands and physiologic response to those demands. |
| Nicholas Schmidt Product Manager, Healthcare Solutions, Withings Partnership Interests: In its on-going efforts to build a dedicated research portal using smart devices, Withings is keen to collect feedback from professionals on their specific needs to help guide the development process. Withings is eager to better understand the validations expected by the research community to use smart devices. |
| Marc Sebes VP of Product, Validic Partnership Interests: Can Validic assist in your research studies? How are you using mhealth data in a clinical setting today? |
| Matthew Smuck, M.D. Associate Professor, Orthopaedic Surgery, Stanford University; Director, Wearable Health Lab Areas of Specialization: Functional performance measures and mobility limited populations Relevant Use Cases for Physical Activity Wearables and Apps: Immediately – provide access to minute level accelerometry data. In the near future – provide access to raw data. |
| Mary Stuart, Ph.D. Investigator, Department of Veterans Affairs Professor, Health Administration and Policy, University of Maryland, Baltimore County Areas of Specialization: Health Services Research; My research has focused on community based exercise for people with disabilities, most notably stroke, who have completed rehabilitation. I am working with research teams in the US and Italy. Relevant Use Cases for Physical Activity Wearables and Apps: There are a variety of issues where wearable devices and apps could be helpful. Once of the major barriers to ongoing exercise after discharge from rehab is the availability of classes appropriate for the individual. Group classes have appeal, but are often not available. Even when group classes are available, wearable sensors could help customize the exercise intervention. Wearable sensors can help motivate people with disabilities to exercise, just as they do for the non-disabled. However, the ability to customize the exercise prescription and monitor progress remotely, can make a progressive exercise program available even in remote areas and to people who do not have transportation (a big barrier, even in urban areas). This transportation issue can be especially a problem for lower income people, who are more likely to be minorities, so wearable sensors might have special value in reducing racial/ethnic health disparities. There are also some special issues with specific disabilities, such as Parkinson’s, where sensors could be useful to people in the home and community setting. Because walking speed is a predictor of declining health and potential falls, using sensors to help people maintain walking speed may be useful in reducing potentially preventable hospitalizations and nursing home admissions. |
| Michael Swiernik, M.D. Leader, Medical Informatics, Kaiser Permanente Areas of Specialization: Mobile health, clinical systems integration, implementation, and customization Relevant Use Cases for Physical Activity Wearables and Apps: Deciding on common data formats would remove the need to build custom integrations with every vendor for similar data. |
| Florence Thng Senior Product Manager, Verily Life Sciences |
| Christy Tomkins-Lane, Ph.D. Associate Professor, Health and Physical Education, Mount Royal University, Canada Co-founder and COO, Vivametrica Member, Stanford Wearable Health Lab Areas of Specialization: healthy aging and exercise as an intervention for special populations, including spinal stenosis, arthritis and low back pain Partnership Interests: Increased understanding of practical application of wearables and associated analytics in health care. |
| Catrine Tudor-Locke, Ph.D. Professor and Chair, Kinesiology, University of Massachusetts, Amherst Areas of Specialization: walking, physical activity, health, behavior change, measurement Relevant Use Cases for Physical Activity Wearables and Apps: measurement and motivation, remote behavior modification automation, remote tracking |
| Michael Weinrich, M.D. Senior Advisor Eunice Kennedy Shriver Institute of Child Health and Human Development, National Institutes of Health Areas of Specialization: Neurology, chronic disease management, biophysics Relevant Use Cases for Physical Activity Wearables and Apps: monitoring disease management programs for stroke, Parkinson’s disease, cerebral palsy |
| Greg Welk, Ph.D. Professor, Department of Kinesiology, Iowa State University Director of Physical Activity and Health Promotion Lab Scientific Director of the Fitnessgram Youth Fitness Program Areas of Specialization: Assessment of physical activity and validation of accelerometry-based activity monitors Relevant Use Cases for Physical Activity Wearables and Apps: The popularity of wearables provides ways to connect with participants but the utility of the apps and smart coach methods aimed at motivating individuals have not been tested or refined. In many cases, consumers get frustrated since the system tells them to be active but they might have done a lot of other activity that wasn’t tracked by the device (e.g. swimming, biking). Integrative systems are needed to enable data to be examined by virtual health coaches who can provide more useful feedback and counseling. |
| Marta Gaia Zanchi Mobile Health Lecturer & Course Director, Biodesign, Stanford School of Medicine Advisor, SHIFT, StartX, & Digital Health Technology startups Areas of Specialization: Health technology innovation process (biodesign), regulation (FDA Class I-II), fundraising and start/growth strategies of early-stage companies. Mobile Health. Digital Health. |
| Emma Zorensky R&D Project Manager, New Devices Group, Intel Partnership Interests: How to make greater meaning from the data streams we already have ( eg what can combining these sensor data streams tell us about things like pre-operative readiness,etc). What interest if any do clinicians have in activity + hr data – is there a time scale that makes that info valuable? If yes, is it tied to global activity standards like 250 mins of moderate activity, etc? |