The following individuals will be participating in Day 2 of mHealth Connect.

Munther Baara Head of New Clinical Paradigm, Pfizer
We are actively working on the execution of our mClinical roadmap. This session will help ensure that we are in alignment with the industry.
Brian Bot Principal Scientist, Computational Oncology, Sage Bionetworks
Head of Outreach and Strategic Development, Mobile Health, Sage Bionetworks
I have been involved with a number of the early studies leveraging ResearchKit and ResearchStack and have an interest in seeding an open ecosystem in mobile health. I have an interest in exploring how remote sensors can be leveraged to quantify both general health and changes in disease symptoms over time.
Mark Braunstein Professor of the Practice, Georgia Institute of Technology
Integration of wearable data with EHR data using FHIR apps.
David Camarillo Assistant Professor of Bioengineering, Stanford University
Simona Carini Data Analyst, UCSF As data scientist for Open mHealth
I am interested in the modeling of physical activity-related data elements to facilitate analysis and visualization both at the individual and at the population scale.
Brian Caulfield Professor, Insight Centre for Data Analytics, University College Dublin
I am a Physical Therapist carrying out research related to use of wearables for measurement and enhancement of human performance in health and sport, as well as in clinical trial settings. Current activities include development and evaluation of interactive exercise biofeedback applications in rehabilitation, understanding role of inertia sensors in measurement of recovery post concussion, and use of digital health supports for cancer rehabilitation.
Derek Chang Data Scientist, Lumo Bodytech
I am interested in understanding and quantifying human motion to help people improve and monitor their movement.
Kristin Crosland Chief Operating Officer, Experien Group
Scott Delp Professor of Bioengineering and Orthopedic Surgery, Stanford University
I am the Director of the Mobilize Center, an NIH Big Data Center of Excellence focused on optimizing human movement.
Emre Demiralp Product Manager, Sensors and Movement Assessment, Verily Life Sciences / Alphabet
I am interested in using wearable sensors to assess movement to characterize various aspects of health and disease across various conditions (musculoskeletal, cardiovascular, neurologic and others). This entails creation of new algorithms for digital phenotyping and hardware for data collection. I want to empower, patients, providers and payers with data and insights to move the healthcare system from reactive to proactive and towards value based care.
Manisha Desai Professor, Medicine, Biomedical Data Science; Director of Quantitative Sciences Unit
Interested in developing tools for the processing and analysis of accelerometer data.
Deborah Estrin Professor, Computer Science, Cornell Tech | Co-Founder, Open mHealth
My interests include digital biomarkers for chronic conditions that combine data from wearables, mobiles, and online digital traces; active and passive tasks for ResearchKit and ResearchStack frameworks.
Luca Foschini Chief Data Scientist, Evidation Health
Evidation Health is a health technology company that is quantifying real life outcomes in research studies by enabling passive data collection (through wearables and apps patients use) to collect data on a state-of-the-art software platform. Evidation does this by leveraging on-staff digital health outcomes research experts, virtual recruitment capabilities, a full suite of software and data integration services, and in-house analytics and data science team. Evidation is delivering faster, cheaper and better trials to assess large populations (sometimes in the hundreds of thousands) in an unprecedented way. Evidation partners throughout the health and research ecosystem with digital health, payor and pharma companies, as well as academics, government, patient advocacy organizations and providers.
Mei Lin Fung Organizer, People Centered Internet
Mobile health is a key way in which the Internet affects people, and how people will want to use the Internet. We are doing projects around the world which are community based and community driven – mobile health devices need to be developed in conjunction with communities. We can connect you with communities.
Marta Gaia Zanchi Adjunct Professor, Stanford Byers Center for Biodesign, Stanford School of Medicine
Teaching a course on the Biodesign process of creating mobile health technology for students from the Medical, all Engineering and Business schools.
Jennifer Gitchell Product Manager, University of California, San Francisco
Job Godino Assistant Professor, Center for Wireless and Population Health Systems,
University of California San Diego

Not only am I personally interested in how well the wearables that I use are measuring my health-related activity (right now the Fitbit Surge and Fitbit Charge 2), but I also spend a lot of time thinking about the accuracy of wearables in my research at the University of California, San Diego. As Director of Applied Research and Technology in the Exercise and Physical Activity Resource Center, I’m responsible for understanding the measurement capabilities of both research- and consumer-level wearables alike, and I’m leading projects that assess the accuracy of consumer-level wearables using a mix of lab- and field-based tests. This is important to me because a lot of my research involves the development, conduct, and evaluation of complex health interventions that utilize wearable and connected fitness devices to promote healthy changes in physical activity, sedentary behavior, diet, and sleep. Technologies that capture data and contextualize health behaviors in real-time provide a mechanism through which theory-based interventions can be personalized and widely disseminated. Furthermore, they empower individuals to collect large amounts of personal health data, which, if appropriately leveraged, has the potential to transform the conduct of epidemiological research, thus creating the foundation upon which precision medicine will be established.
Lloyd Green Director, Engagement Marketing & Creative Community Services, IEEE-Standards Association
IEEE is developing a standard for wearables. This standard gives an overview, terminology, and categorization for Wearable Consumer Electronic Devices. I am interested in understanding this space in more depth as well as to identify other members to actively participate in the working group.
Dexter Hadley Assistant Professor, Departments of Pediatrics, Pathology and Laboratory Medicine, UCSF Melanoma accounts for less than one percent of skin cancer cases but the vast majority of skin cancer deaths. Early screening and diagnosis significantly improves patient outcomes, yet no systematic framework exists for clinical evaluation of common pigmented lesions for risk of melanoma. In this talk, I will describe our approach to develop a learning health system focused on precision screening and diagnosis of skin cancer. We first leverage medical students in the clinics to capture digital samples of pigmented skin lesions at scale with mobile health technology. We then leverage this clinical big data to train state-of-the-art deep learning image classification algorithms to better screen for cancer. Our work translates routinely documented electronic health data and mobile phones into an impactful digital health initiative to directly improve clinical outcomes and advance clinical knowledge.
Nada Hanafi Chief Srategy Officer, Experien Group
Bill Haskell Adjunct Professor, Stanford Byers Center for Biodesign, Stanford School of Medicine
Development and testing of wearable devices to accurately and reliably measure components of the 24-hour activity cycle – especially in a clinical setting
Conor Heneghan Director of Research, Fitbit
Frederik Hermann Head of Marketing & Sales, Huami Inc, Maker of Amazfit / Xiaomi Mi Band Products
Our interest in wearables is to further the development of use cases far beyond basic activity and sleep tracking, taking it into the medical space, being able to assist people in conveniently monitoring potential health risks, being able to recognize early warning signs, being able to get help for people in need, provide active advice or coaching for preventative means. The use of sensors built into body-worn devices, clothing, and equipment also has plenty of applicability in sports to measure and optimize performance or to prevent injury. We are also interested in working with medical professionals to provide secure access to patient-data collected by our devices (upon patient permission) and how that can be used for assessment and prevention.
Jennifer Hicks Director of Data Science, Mobilize Center, Stanford University
Analyzing large datasets to characterize the benefits of activity in the general population and in patient populations; designing interventions to increase physical activity.
Kay Hoffmeester Microsoft Healthcare NExT, Microsoft Artificial Intelligence & Research Tracking of health metrics, behavior and interventions.
Adherence and effectiveness of care plans.
Nitesh Jain Director & Head of Wearable and Digital Health Services, Samsung Electronics America
Interested in partnering for breakthrough digital health solutions for Samsung Health and Gear Wearables.
Sachin Karnik Director, Clinical Paradigm, Pfizer
At Pfizer we are committed to transforming the conduct of Clinical Trials by exploring and implementing the increased use of patient reported outcomes, wearables, sensors, and data analytics to improve the experience of research participants. To enable this goal, we are interested in collaborations on the effective use of wearables and sensors in a clinical setting and efficient validation approaches to enable the use of such data to be more consistently applied to clinical studies. We would also be interested in collaborations to empower the patient to own and aggregate their IOT devices and EMRs to identify relevant clinical studies.
Matteo Lai CEO & Co-Founder, Empatica, Inc
I’m passionate about medical devices that do not look like medical devices. I think technology needs to disappear and usability has to improve if we want to improve compliance. Also most wearables have been focused on the consumer/wellness market (Empatica is a conscious exception), but there’s still a lot problems to be solved in chronic disease management/prevention. I would like to connect to other players in the industry to discuss the direction/evolution of our fields and common challenges for the future.
Jonathan Lee Director of R&D Strategy, New Devices Group, Intel
Interested in working with academic researchers to understand how to use consumer wearables to make bigger impacts on health.
Jure Leskovec Assoc Prof. Computer Science, Stanford University
Data science and data analytics; modeling and influencing user behavior.
Jennifer Liao Business Development, Evidation Health
Evidation Health helps healthcare companies quantify outcomes in the digital era, with real life data from connected patients. The company developed its Real Life Study Solution to accelerate and enhance outcomes research through virtualized pragmatic trials– measuring the impact of digital health and traditional interventions far more efficiently than traditional approaches. Evidation Health works across the healthcare ecosystem with top pharmaceutical companies, payers, providers, patient groups, government and digital health companies.
Daniel Ly Algorithms Engineer, Lumo BodyTech
Founded in 2011, Lumo Bodytech has developed a technology platform that leverages smart sensors and software to optimize performance and address human biomechanics through real-time tracking of body movement. Our current products include the Lumo Lift posture coach and activity tracker, as well as Lumo Run, a sensor which measures and coaches you on running form.
Ken Martin American College of Sports Medicine / Patient/ Survivor: exercise-oncology and exercise-IT advocate Registering more physical activity measures and research/clinical panels (sets) with LOINC in order to enhance wearable and app data interoperability with Electronic Health Records and research databases.
Robert McBurney Co-PI, iConquerMS, the MS People-Powered Research Network
CEO, Accelerated Cure Project for Multiple Sclerosis Multiple sclerosis (MS) is a neurodegenerative disease that disables the functioning of lower and upper limbs and extremities and also leads to fatigue, sleep disturbance and impairment of cognitive function, amongst many other symptoms. Our MS people-powered research network, iConquerMS, is keenly interested in how wearables can be used to monitor the effects on activities of daily living of MS and its treatment. Naturally, we are interested in monitoring mobility but equally interested in upper limb and extremely function and many other symptoms such as fatigue and sleep disturbance.
Michael McConnell Head, Cardiovascular Health Innovations, Verily Life Sciences/Alphabet
Professor, Cardiovascular Medicine, Stanford University I am interested in cardiovascular health applications of wearable device assessment of physical activity. This includes providing users with insights about their physical activity (particularly in support of WHO guidelines), collecting real-world data on physical activity for research, and providing physical activity and fitness data to physicians to enhance CV heath assessment and care.
Rob McCray President, Wireless Life-Sciences Alliance
Board Member, PCHA I am interested in the best solutions for passive and/or engaging approaches to collecting actionable information and delivering feedback to people in all settings.
Rebecca Mitchell Director of Clinical Product, Validic
We are interested in all forms of clinical and consumer devices, wearables, and apps to better understand how they can be integrated into clinical care. We would like to know plans for feature additions and the ability to capture new data types. Of particular interest are any neurological, behavioral or cognitive-based technologies.
CK Mummidisetty Lead Engineer, Max Näder Center for Rehabilitation Technologies and Outcomes Research, Center for Bionic Medicine, Rehabilitation Institute of Chicago / Shirley Ryan’s Ability Lab.
Our center aims to use wearable devices and technologies to create new outcomes and metrics for the field of rehabilitation, and also to use wearable devices and technologies for the rehabilitation needs.
Joseph Munaretto Staff Algorithm Engineer & Tech Lead, Huami Inc, Maker of Amazfit / Xiaomi Mi Band Products I am interested in finding novel physiological measures that are influential in affecting behavioral modifications.
Jeff Olgin Professor of Medicine & Chief, Division of Cardiology, UC San Francisco (UCSF)
We have developed a platform for conducting mobile health research. Also, I am one of the PIs of the Health eHeart Study.
Michael Orendurff Director, Motion & Sports Performance Lab, Stanford Children’s Health
I am interested in real world mobility and exercise outcomes of individuals with musculoskeletal pathologies and orthopedic treatments, and also molecular signaling response to specific exercise doses.
Maria Palombini IEEE-Standards Association
I am interested in learning how to integrate data from fitness wearables into the area of personalized medicine and its integration into distributed ledger technologies as part of the work towards patient digital identity.
Spyros Papapetropoulos Vice President, Global Development Head, Neurodegenerative Diseases and Movement Disorders, Teva Pharmaceutical Industries
Bakul Patel Associate Center Director for Digital Health, FDA
Ernesto Ramirez Director of Research & Development, Fitabase
We are interested in lowering the technical burden associated with working with consumer level wearable devices and health platforms. Since 2012, we’ve helped facilitate over 250 studies and processed over 2 billion minutes of activity data. Our data management platform is helping researchers, clinicians, and healthcare organizations access and make use of data in new and exciting ways.
Jim Rehg Professor, Computer Science, Georgia Institute of Technology
Deputy Director, Mobile Sensor Data to Knowledge (MD2K) Center I work on machine learning models for mobile sensor data. I am interested in the accurate estimation of physical activity from sensors and the evaluation of physical activity monitoring technology.
Thomas Robinson Professor, Pediatrics and Medicine, and Director, Center for Healthy Weight, Stanford University
1. Using wearable devices to promote behavior change. 2. Using wearable devices to improve measurement of physical activity, sedentary behavior and sleep, and to better characterize their relationships with health outcomes in free living, real world populations. 3. Designing wearable devices and associated interventions to reduce (rather than widen) health disparities.
Teri Rosenbaum-Chou, PhD Chief Scientific Officer, Modus Health, LLC
Our interest is to improve quality and efficiency of health care services through physical activity monitoring. Our activity monitor, StepWatch, was developed and patented in 1996 and earned FDA class II status in 2004. It is the most accurate activity monitor for measuring walking as supported by 322 peer-reviewed publications. StepWatch began as a research device and then expanded into clinical areas. StepWatch is currently reimbursable for clinical use at Veterans Affairs hospitals and collaborations are in place with the Rehabilitation Institute of Chicago, Harvard Medical School, and the Veterans Affairs to create products that fit within clinical work flow.
Mary Rosenberger Exercise Scientist, Stanford Center on Longevity, Stanford University
I’d like to understand the relationships between physical activity, sedentary behavior, sleep and health outcomes.
Gisela Sandoval Clinical Assistant Professor, Center for Interdisciplinary Brain Sciences Research, Stanford University School of Medicine
I am interested in identifying quantifiable metrics of behavior to better diagnosis mental illness by exploring the use of wearable physical activity monitors such as assessing treatment effectiveness in children with ADHD.
Aenor Sawyer Director, UCSF Skeletal Health Service, Health Innovation&Technology in Ortho (HITO), Asst Clinical Professor, Dept Orthopaedic Surgery, UCSF
I am interested in identifying quantifiable metrics of behavior to better diagnosis mental illness by exploring the use of wearable physical activity monitors such as assessing treatment effectiveness in children with ADHD.
Nicolas Schmidt Product Manager, Nokia Technologies
I am looking for healthcare partners interested in integrated patient-generated health data (PGHD) into clinical care.
Alpesh Shah Sr. Director, IEEE/Standards Association
Interested in helping like-minded entities and individuals looking to accelerate technology innovation in the wearables and apps to achieve stakeholder interests in partnership or through the IEEE platform.
Sanjay Shah Director, Strategic Innovation, Dignity Health
Focused on creating healthcare programs and programs that translate data creating devices in to action-enabled data solutions.
Mathew Smuck Chief of PM&R and Associate Professor of Orthopedic Surgery, Stanford University
I direct the Wearable Health Lab. With a focus on mobility-limiting diseases, we leverage wearable biosensor data to uncover digital phenotypes of disease, and to develop tools for precision health.
Arati Sohoni Sr. Product Manager, Mobile Experience, Samsung
I am interested in understanding how consumer wearable solutions can improve patient health outcomes, especially in chronic disease management and rehabilitation programs while also providing value to providers and payers.
Donna Spruijt-Metz
Research Professor, Psychology and Preventive Medicine, University of Southern California (USC)
Director, USC mHealth Collaboratory
Senior Researcher, USC Center for Economic and Social Research
Director, Responsible Conduct in Research, USC Keck School of Medicine

My research focuses on childhood obesity and mobile health technologies, and I work predominantly with minority populations and families. My 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, I want to collaborate in the development of dynamic, contextualized mathematical models of health-related behavior that can be used to drive Just-in-time, adaptive interventions (JITAIs). My 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.
Komathi Stem Founder & COO monARC Bionetworks
Mike Swiernik Lead, Remote Patient Monitoring, SoCal Kaiser Permanente
Using activity data in chronic disease management.
Christy Tomkins-Lane Associate Professor, Health and Physical Education, Mount Royal University
COO, Vivametrica

I am interested in the application of digital biomarkers in understanding health and disease.
Catrine Tudor-Locke Professor and Chair, Department of Kinesiology, University of Massachusetts Amherst
I am a walking behavior researcher and am a recognized world leader in objective physical activity assessment and promotion, specifically focused on pedometer or accelerometer-determined ambulatory activity captured as steps/day across the lifespan. I am a trained program evaluator and adult educator focused on practical applications in objective monitoring measurement and intervention. I have also published on clinical vs. free-living gait analysis, including interpretation of cadence as a simple indicator of ambulatory patterns. I have also published work documenting the relationship between time spent in sedentary behavior and relatively low ambulatory activity, measured as steps/day.
Subbu Venkatraman Director of Research, Fitbit
Dennis Wall Associate Professor, Pediatrics, Psychiatry, and Biomedical Data Science, Stanford University
My lab works on mobilized tools for faster, more efficient mental healthcare in children. There is a growing and striking imbalance between the number of clinical care providers and the number of children at risk for or managing an autism diagnosis, creating an urgent need to innovate new methods of care delivery that can appropriately empower caregivers and that capitalize on mobile tools and wearable devices. We have focused on building two complementary machine learning tools–one for rapid, mobile measurement of the autism phenotype and one for at-home social learning on Google Glasses–and have combined them into a complete native app/mobile solution for families with autism that promises to open the diagnostic bottleneck and provide a valuable form of behavioral therapy entirely from outside clinical settings. We have launched the app and enrolled 100 families to participate in a first-of-its kind study aimed at finalizing the tool for widespread use. My team is currently running mobile ex-clinical trials designed for faster more efficient data capture and care delivery.
Charles Wang COO & Co-Founder, Lumo Bodytech
Lumo Bodytech is a motion science company that utilizes sensors and software to track biomechanics and provide feedback for various movements with a high degree of accuracy. We build consumer products (Lumo Lift, Lumo Run), and also provide solutions for third party organizations to decrease their time to market for products they wish to create via our MotionScience platform.
Fei Wang Chief Data Scientist in Healthcare, Huami Inc, Maker of Amazfit / Xiaomi Mi Band Products
Bridget Williams R&D Strategy Manager – Health and Performance, New Devices Group, Intel
I am interested in exploring new use cases and markets that wearables can be applied
Jonathan Wilt Chief Technology Officer of innovationOchsner, Ochsner Health System
Ochsner Health System was the first to incorporate Apple Healthkit data into digital medicine programs targeting chronic disease. These digital medicine programs rely on patient health data generated at home by apps and wearables.
Laura Wilt Senior Vice President, Chief Information Officer, Ochsner Health System
Douglas Yeung Behavioral/Social Scientist, RAND Corporation;
Professor, Pardee RAND Graduate School

I am interested broadly in the use of technology (mobile devices, social media) to track and measure health and wellbeing. Wearables potentially provide multiple types of wellbeing indicators, including physical activity, sleep, location, and opportunities for social connection. I am interested in helping to build collaborations to bridge public-private interests, data, and platforms to improve health and wellbeing outcomes.