David Price _
No Photo AvailableCo-founderDebateGraphDavid Reeves _
No Photo AvailableDirector, ProductLimeadeCorporate/Private SectorWork Seattle Washington United States of AmericaBiography
I’m part of the founding team at Limeade, a service that helps employees of large organizations improve their health and well-being. Also founded the Seattle Quantified Self chapter. I’m interested in health, technology, design and entrepreneurship.
Technology, Public Health, Design, Internet of Things, Social Justice / Digital Divide
David Tharp _
No Photo AvailablePureTech VenturesMedicine/Health Care, Corporate/Private Sector, OtherWork Boston Massachusetts United States of AmericaWebsite: http://www.puretechventures.comTechnology, Design, Business models, Devices, Apps
Dawn Lemanne, MD, MPH _
No Photo Availablemedical oncologistOncology Data Consulting, PCAcademia/University, Medicine/Health Care, Corporate/Private SectorWork Ashland Oregon United States of AmericaBiography
I am a medical oncologist moving research from clinic to the home. Rigorous n of 1 experimental design and small and unusual monitoring devices for measuring progress of cancer treatment interest me. I lead the Independent Metabolic Research Group (iMeRG), licensed health professionals exploring the effects of inexpensive lifestyle interventions on markers of chronic disease, using themselves as subjects. Currently I am based in southern Oregon, where I treat cancer patients at Oregon Integrative Oncology. I expect to join the UC San Francisco medical faculty in late 2016.
Design, Research methods, Devices, Internet of Things
Denis Salins _
No Photo AvailableSoftware Developer II, ResearchStanford UniversityAcademia/University, Medicine/Health CareWork Mountain View California United States of AmericaTechnology, Public Health, Business models, Research methods, Data Science, Electronic Health Records, Visualization, Devices, Apps, Internet of Things
Desney Tan _
No Photo AvailablePrincipal Researcher and ManagerMicrosoft ResearchCorporate/Private SectorWork Redmond Washington United States of AmericaWebsite: http://research.microsoft.com/~desneyBiography
I am a Principal Researcher at Microsoft Research, where I manage a Health Technology group in Redmond, Washington. I also hold an affiliate faculty appointment in the Department of Computer Science and Engineering at the University of Washington. My research interests include Human-Computer Interaction, Mobile Computing, and Healthcare. I spend large chunks of my time applying signal processing and machine learning to recognizing noisy signals, specifically those in or on the human body, and using them in interesting ways. However, I have pretty varied interests and have worked on projects in many other domains.
Technology, Data Science, Devices, Other
dhannya V S _
No Photo AvailableAcademia/University, Medicine/Health Care, Corporate/Private Sector, Non-profitWork Los Angeles United States of AmericaTechnology, Public Health, Policy, Ethics/IRB, Research methods, Privacy, Data Science, Informatics and Statistics, Visualization, Social Media, Devices, Apps
Donald Patterson _
No Photo AvailableAssociate ProfessorUniversity of CA, IrvineAcademia/UniversityWork Irvine California United States of AmericaWebsite: http://www.ics.uci.edu/~djp3Biography
Don Patterson’s areas of research interest lie at the intersection of Artificial Intelligence and Ubiquitous computing and he has applied this work to transportation and activity assistance.
Technology, Public Health, Design, Data Science, HCI/Ubicomp, Informatics and Statistics, Visualization, Social Media, Devices, Apps, Internet of Things
Donghee Yvette Wohn _
No Photo AvailableAssistant ProfessorNew Jersey Institute of TechnologyAcademia/UniversityWork Newark New Jersey United States of AmericaWebsite: http://www.yvettewohn.comBiography
My research focus is understanding long-term use of technology through a lens I call “soft sustainability.” While sustainability research in HCI has emerged from interest in the hardware aspects of environmentally-friendly technology, my focus is on the human, or social component of sustainability. Much of extant HCI research investigates technology adoption and short-term usage, but understanding why people continue to interact with technology over a long period of time involves different socio-psychological mechanisms. This has serious implications when designing a system intended for long-term use.
I have a three-prong approach for understanding what contributes to sustainability: conscious motivations, non-conscious habits, and self-identity. These three factors have different implications and interactions with technology design. I have studied these factors in many different contexts, including social media, education, games, and cultural content, Soft sustainability is especially important when trying to understand and improve technology that requires continued use for long-term benefits, which may include healthy living, psychological well-being, and community/relationship maintenance.Technology, Design, HCI/Ubicomp, Social Media, Internet of Things
Donna L. Coffman _
No Photo AvailableSenior Research Associate/ BD2K K01 awardeePennsylvania State UniversityAcademia/UniversityWork PA Furnace Pennsylvania United States of AmericaWebsite: http://methodology.psu.edu/people/dcoffmanBiography
I work on analytic methods for data collected via smartphones, accelerometers and other biosensors to promote and maintain healthy behavior change.
Public Health, Research methods, Data Science, Informatics and Statistics
Donna Spruijt-Metz _
No Photo AvailableDirector, USC mHealth CollaboratoryUniversity of Southern CaliforniaAcademia/UniversityWork Los Angeles California United States of AmericaBiography
Donna Spruijt-Metz is Director of the new USC mHealth Collaboratory at the University of Southern California’s Center for Economic and Social Research (Co-Director, Bill Swartout), Professor of Research in Psychology. 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. Her research focuses on childhood obesity and mobile health technologies, including the KNOWME Networks project, that developed a Wireless Body Area Network system to decrease sedentariness and increase physical activity in overweight minority youth using a JITAI. 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 recently led an NSF/EU/NIH-funded workshop in Brussels on building new computationally-enabled theoretical models to support health behavior change and maintenance. 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. She has a deep interest in harnessing mobile health and new media modalities to bring researchers and researched systems into interaction, to engage people in their own data, and to bring about lasting change in public health.
Technology, Public Health, Ethics/IRB, Research methods, Data Science, HCI/Ubicomp, Visualization, Devices, Apps
Donna Spruijt-Metz _
No Photo AvailableDirector, USC mHealth CollaboratoryUniversity of Southern CaliforniaAcademia/UniversityWork Los Angeles California United States of AmericaWebsite: http://mHealth.usc.eduBiography
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. 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. Her research focuses on childhood obesity and mobile health technologies, including the KNOWME Networks project, that developed a Wireless Body Area Network system to decrease sedentariness and increase physical activity in overweight minority youth using a JITAI. 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 recently led an NSF/EU/NIH-funded workshop in Brussels on building new computationally-enabled theoretical models to support health behavior change and maintenance. Her work meshes 21st century technologies with transdisciplinary metabolic, behavioral and environmental research in order to facilitate the development of dynamic, personalized, contextualized JITAIs. She has a deep interest in harnessing mobile health and new media modalities to bring researchers and researched systems into interaction, to engage people in their own data, and to bring about lasting change in public health.
Technology, Public Health, Design, Ethics/IRB, Research methods, Data Science, HCI/Ubicomp, Electronic Health Records, Informatics and Statistics, Visualization, Social Media, Devices, Apps, Internet of Things, Social Justice / Digital Divide
Dori Rosenberg _
No Photo AvailableAssistant Scientific InvestigatorGroup Health Research InstituteAcademia/University, Medicine/Health CareWork Seattle Washington United States of AmericaWebsite: https://www.grouphealthresearch.org/our-research/our-scientists/rosenberg-dori-e/Biography
My goal is to support people in changing their patterns of behavior to help them live in ways that maximize their ability to engage in meaningful activities. I am particularly interesting in supporting ways to help older adults and people with chronic conditions in changing their sedentary behavior and physically active behaviors. I aim to deliver interventions in ways that are easy for populations to engage with such as by technologies such as smart phone applications. Furthermore I’m interested in surveillance opportunities by blending data from the electronic health record with information from wireless devices.
Technology, Public Health, Electronic Health Records, Devices, Apps
Douglas Yeung _
No Photo AvailableRAND CorporationWork Santa Monica United States of AmericaDr John Haughey _
No Photo AvailablePhysicianMedicine/Health CareWork San Diego California United States of AmericaBiography
1. Interested in how individuals can make use of their own health data to make decisions which impact health.
2. Interested in the process by which an individual accesses data to make a decision by interfacing with the health care system.
3. Interested in the intersection of the personal narrative of health with the textbook presentation of an illness
4. Interested in how healthcare providers can get summative and formative feedback about the performance of their patients using specific endpointsPublic Health, Electronic Health Records, Other
Dr. Bonnie Spring _
No Photo AvailableProfessorNorthwestern University – Dept. of Preventive MedicineAcademia/University, Medicine/Health CareWork Chicago Illinois United States of AmericaWebsite: http://www.preventivemedicine.northwestern.edu/divisions/behavioralmedicine/research/springlab.htmlTechnology, Public Health, Research methods, Data Science, Apps
Edison Thomaz _
No Photo AvailablePhD Candidate/Research AssistantGeorgia Institute of TechnologyAcademia/University, Medicine/Health CareWork Atlanta Georgia United States of AmericaWebsite: http://www.ethomaz.comBiography
I am a Ph.D. candidate in the Human-Centered Computing program at Georgia Tech. I design, implement and evaluate systems that can sense, recognize and model people’s everyday life activities in service of health and well-being applications. My research combines technical approaches from Ubicomp, HCI, Machine Learning, and Signal Processing.
Public Health, Research methods, Data Science, HCI/Ubicomp, Devices
Edward “EJ” Murphy _
No Photo AvailableResearch AssociateHuman Longevity Inc.Academia/University, Medicine/Health Care, Corporate/Private SectorWork San Diego California United States of AmericaPublic Health, Data Science, Electronic Health Records, Apps, Internet of Things
Elinor Schoenfeld _
No Photo AvailableResearch Associate ProfessorStony Brook UniversityAcademia/University, Medicine/Health CareWork Stony Brook New York United States of AmericaBiography
I am an epidemiologist with an interest in improving the health of our aging population. Smart devices are a means to engage individuals while having the potential for facilitating bidirectional communications. I am interested in learning what others are doing and form new collaborations.
Technology, Public Health, Research methods, Visualization, Apps
Ellen Frank _
No Photo AvailableDistinguished Professor of Psychiatry and Professor of PsychologyUniversity of Pittsburgh School of MedicineAcademia/UniversityWork Pittsburgh Pennsylvania United States of AmericaWebsite: http://www.wpic.pitt.edu/research/dmdpp/Biography
For more than 25 years my laboratory has been studying interventions for mood disorders and the pathophysiology underlying response to those interventions. These studies are notable for their emphasis on sleep/wake and circadian rhythms as mediators and moderators of treatment response. Consistent with that emphasis we have developed an approach to the treatment of bipolar disorder that is based on a specific hypothesis regarding the impact of social rhythms, as measured by the Social Rhythm Metric (SRM) on circadian function and mood in this illness. Under the auspices of an NIMH MERIT Award, we demonstrated the preventive efficacy of interpersonal and social rhythm therapy (IPSRT) which seeks to stabilize circadian function in patients with bipolar disorder by increasing the regularity of their daily social rhythms. Most relevant to the current application, we found that the preventive efficacy of IPSRT was directly related to the degree to which participants increased the regularity of their social routines. IPSRT has now been validated in several other studies of bipolar disorder in both adults and youth. Given the centrality of the social rhythm regularity to this intervention approach, we are working with patient and clinician stakeholders to develop a highly disseminbable health care system based on a smartphone version of the Social Rhythm Metric combined with data sensed from the smartphone. This system can interface with a clinical monitoring system in clinicians’ offices or be used independently by patients with bipolar disorder in their own self-management.
Technology, Design, Research methods, Data Science
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