Kevin Patrick, MD, MS
Professor, Department of Family and Preventive Medicine, UCSD
Former Editor-in-Chief, American Journal of Preventive Medicine
Director, Center for Wireless and Population Health Systems, Calit2
Kevin Patrick, M.D., M.S., is a Professor of Family and Preventive Medicine in the UC San Diego School of Medicine. He is also the Director of the Center for Wireless and Population Health Systems in UCSD’s Qualcomm Institute/Calit2. He is Director of the Robert Wood Johnson Foundation (RWJF) Health Data Exploration Project. His research, funded by the NIH, NSF, CDC and RWJF, is focused on improving the use of information and communication technology to measure and improve health-related behaviors of individuals and populations. For 20 years (1994-2013) Dr. Patrick served as Editor-in-Chief of the American Journal of Preventive Medicine and he has served on the Secretary’s Council for Health Promotion and Disease Prevention of the U.S. Department of Health and Human Services and on the Armed Forces Epidemiological Board.
Dr. Baru is a distinguished scientist at the San Diego Supercomputer Center where he works on applied and applications-oriented research problems in scientific data management, database systems, and cloud computing. He has participated in a number of data cyberinfrastructure projects, including as project director of the Geosciences Network, (GEON); director of the NEES Cyberinfrastructure Center, (NEESit); and cyberinfrastructure lead of the Tropical Ecology, Assessment and Monitoring network (TEAM). He was co-PI of the Cyberinfrastructure Testbed for the National Ecological Observatory Network (NEON) and served as a member of the founding senior management team of NEON. He is currently PI of Opentopography.org, co-PI of the CUAHSI Hydrologic Information Systems (HIS), co-PI of CYCORE, Cyberinfrastructure for Comparative Effectiveness Research, and a member of the How Much Information? project.
Dr. Cinnamon Bloss recently joined The Qualcomm Institute/Calit2 and UCSD as a co-investigator on the Robert Wood Johnson Foundation funded Health Data Exploration Project. She was formerly an Assistant Professor and Director of Social Sciences and Bioethics at the Scripps Translational Science Institute.
Dr. Bloss’ research focuses on the impacts of new biomedical technologies on individuals, patients, families, health care providers, and society. Most recently, Dr. Bloss has done extensive work evaluating consumer behavioral and psychological response to direct-to-consumer genomic testing. This work has been highlighted at several national and international scientific and health policy meetings, including a presentation of invited testimony before the Food and Drug Administration Advisory Panel to inform consumer genomics policy. Dr. Bloss is a California-licensed clinical psychologist and has worked with adults, families and children with a wide range of issues.
Dr. Emilia Farcas is an Assistant Project Scientist at the UCSD's Qualcomm Institute, the San Diego division of the California Institute for Telecommunications and Information Technology (Calit2). Her research interests are software-engineering methodologies for managing the complexity of cyber-physical systems, focusing on modeling requirements, architectures, and service-oriented engineering, while addressing concerns such as governance and reliability. Her research is applied in various cyber-infrastructure projects at UCSD in the fields of health sciences and clinical trials, large-scale oceanographic observatories, and fail-safe automotive systems.
Dr. Farcas received her PhD degree from the University of Salzburg, Austria in 2006 in the area of component models, programming languages, and scheduling algorithms for real-time distributed systems. Her research on network scheduling algorithms received the best paper award for Factory Automation at the 2007 IEEE Conference on Emerging Technologies and Factory Automation. After she joined UCSD in fall 2006, she focused on integrating large-scale systems and foundations for service-oriented architectures. Until 2010, she was subsystem lead architect for the Cyber-infrastructure and also the Sensing and Acquisition components of the Ocean Observatories Initiative (OOI) project. There she researched governance, messaging infrastructures, scientific data models, and novel methods for data distribution and control of oceanographic experiments. Since 2010 she has been leading the requirements engineering, architecture, and development for the CYCORE project, to deliver an innovative cyber-infrastructure that meets stakeholders' needs. She has also been researching value-based engineering and quality assurance in cyber-infrastructures.
Dr. Fowler's current interests include social networks, behavioral economics, evolutionary game theory, political participation, the evolution of cooperation, and genopolitics (the study of the genetic basis of political behavior). His research on genopolitics with Chris Dawes was featured in New York Times Magazine's 2008 Year in Ideas. His research on social networks with Nicholas Christakis was featured in Time's Year in Medicine in both 2007 and 2008, and in Harvard Business Review's Breakthrough Business Ideas for 2009.
The majority of Dr. Godino’s research focuses on the development, conduct, and evaluation of complex interventions that utilize mobile and wearable technology (e.g., smart phones, accelerometers, and heart rate monitors) to promote healthy changes in physical activity, sedentary behavior, and diet for the primary and secondary prevention of obesity, diabetes, and cardiovascular disease. Mobile and wearable 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 and reduce health disparities. Dr. Godino is broadly interested in the prevention of chronic diseases and disorders that disproportionately afflict minority and medically underserved populations and has worked on several NIH-funded projects in this area. In his role as Director of Research and Applied Technology for the Exercise and Physical Activity Resource Center (EPARC), he is actively engaged in the development and evaluation of on- and off-body sensors that measure various components of human physiology and behavior.
Dr. Godino joined UCSD in September 2014, after completing a Postdoctoral Fellowship in the Epidemiology and Biostatistics of Aging Training Program at the Johns Hopkins Center on Aging and Health and the Welch Center for Prevention, Epidemiology, and Clinical Research where he studied age-related decline in physical function. In 2013, he received his PhD in Epidemiology from the University of Cambridge, where he studied the effects of brief personalized information on objectively measured physical activity. His research was conducted within the MRC Epidemiology Unit, a world leader in the development and evaluation of valid and reliable methods for measuring complex health behaviors. In 2009, he received his MS in Epidemiology from Temple University and was inducted into Delta Omega, a national honor society for graduate studies in public health. In 2007, he graduated magna cum laude with a BA in Anthropology from the Honors Program at Temple University and was inducted into Phi Beta Kappa, a national honor society for undergraduate studies in the liberal arts and sciences.
Dr. Griswold received his PhD in computer science from the University of Washington in 1991, and his BA in Mathematics from the University of Arizona in 1985. His research interests include ubiquitous computing, educational technology, aspect-oriented software development, software evolution and design, and software tools. He is a member of the IEEE Computer Society and the Association for Computing Machinery (ACM).
Linda Hill, MD, MPH
Director, UCSD/SDSU General Preventive Medicine Residency Program
Professor, Family and Preventive Medicine, UCSD
Dr. Hill is a Professor in the Department of Family and Preventive Medicine at UCSD, and the Director of the UCSD/SDSU General Preventive Medicine Residency. San Diego Family Care, a Federal 330 Community Health Center, is the site of her clinical activities, as Medical Director 1980 to 2001, and Senior Staff Physician since 2001. She is the Medical Director of the UCSD Training, Research and Education for Driving Safety (treds.ucsd.edu) and Co-Director of the UCSD Injury Epidemiology and Prevention Research Center. She is engaged in prevention research and teaching with current/past support from the NIH, the California Office of Traffic Safety, Robert Wood Johnson, American Cancer Society, and Health Services Resource Administration, including research in injury prevention, obesity, decision making, compliance, physician training, and refugee health. Dr. Hill serves as Chair of the Graduate Medical Education Committee for the American College of Preventive Medicine. Her hobbies include classical piano and ocean sports.
Dr. Huang’s current research interests focus on how the health of individuals with chronic disease can be improved through the creative use of widely available personal wireless and networked technologies and ubiquitous computing. She developed MD2Me, a SMS and web-based intervention designed to increase health-related self-efficacy and healthcare engagement among adolescents with chronic disease, and Fit4Life, a SMS and health counseling intervention to improve weight management in childhood survivors of leukemia. Both interventions were tested in randomized controlled trials with demonstrated efficacy in targeted outcomes. Dr. Huang also currently leads a NIH-funded project evaluating computer vision technology for assessing pain in children. She is also a co-investigator on NSF-funded projects enabling the use of health sensor and multisource data to monitor and improve health. Dr. Huang currently receives and has received funding from the National Institutes of Health, the National Science Foundation, and the American Cancer Society for her work.
Dr. Kerr leads several NCI-funded projects collecting and processing GPS data, including developing software to aggregate and process GPS data. She has led a review and several workshops on this topic and can help researchers include GPS data in their projects with protocols for IRBs, data collection, processing, matching with GIS etc.
Dr. Kerr works on several NIH-funded R01 projects with Dr. Jim Sallis on neighborhood correlates of physical activity in children, teens, adults and older adults, including two IPEN studies in adults and teens.
Dr. Kerr is PI of three NCI-funded R01 grants using machine learning techniques to classify physical activity types and sedentary behaviors from raw accelerometer, GPS and heart rate data. Annotated truth images from a SenseCam person worn camera are employed in this work and Dr. Kerr is helping to advance this field.
Dr Kerr’s expertise in physical activity and location measurement inform improved evaluation of behavior change interventions. An example is the NHLBI funded MIPARC study in Continuing Care Retirement Communities, which includes community advocacy.
For an up-to-date publications list see Google Scholar.
Ingolf Krueger, PhD
Associate Professor, Department of Computer Science and Engineering, UCSD
Director, Service-Oriented Software and Systems Engineering Laboratory
Director, Software & Systems Architecture & Integration (SAINT)
Dr. Krueger’s major research interests are service-oriented software and systems engineering for distributed, reactive systems, software architectures, description techniques, verification and validation, and development processes. The application domains to which he applies his research results span the range from networked embedded systems to Internet-wide business information architectures.
Dr. Krueger’s team of software professionals work on a wide variety of large-scale software and systems engineering projects involving the design and implementation of service-oriented integration architectures, infrastructures, and applications for projects in areas such as homeland security, disaster response, decision support, command and control, automotive, and telecommunications. His team members combine practical experience with cutting-edge research to develop next-generation "systems of systems" that require flexibility, security, safety, scalability, and robustness.
Dr. Marshall grew up in Zambia and in different parts of the UK (parts where the rain comes at you sideways). As his dreams of becoming a professional cyclist faded, he completed a bachelor’s degree in Sports Science at Liverpool Polytechnic (UK), followed by a master’s degree in kinesiology from SDSU. He returned to the UK in 1998 to complete a PhD in exercise psychology, followed by a post-doctoral fellowship in physical activity and public health. From 2002-2012, he served as professor of exercise and nutritional sciences at SDSU. In addition to his faculty role at UCSD, Dr. Marshall serves as associate director of UCSD's Exercise and Physical Activity Resource Center (EPARC) in the Center for Wireless and Population Health Systems. He has over 16 years of experience in designing and implementing methods for measuring and evaluating physical activity. Since 2004, Dr. Marshall’s externally funded research has focused predominantly on physical activity and exercise promotion in the Latino community. He served as principal investigator (PI) for Pasos Adelante, a Spanish language physical activity program funded by the Centers for Disease Control and Prevention (CDC), and he currently serves as PI for Academia Fit, a CDC-funded translation study of supervised, grouped-based exercise classes offered in public parks and recreation centers. He has authored over 60 articles and book chapters on physical activity and sedentary behavior, and serves on the editorial board of the International Journal of Behavioral Nutrition and Physical Activity. When not working he tries to keep up with his professional triathlete wife, Lesley Paterson, who continually reminds him that exercising in San Diego is as close to paradise as it comes.
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.
Jeanne Nichols, PhD, FACSM
Chief Exercise Physiologist, Exercise & Physical Activity Resource Center, Department of Family and Preventive Medicine
Professor Emeritus, School of Exercise & Nutrition Sciences, San Diego State University
Jeanne Nichols is the Chief Exercise Scientist with the Exercise & Physical Activity Resource Center (EPARC) in the Department of Preventive and Family Medicine at UC San Diego, and Professor Emeritus in the School of Exercise & Nutrition Sciences at Cal State, San Diego. She also is an adjunct professor at the SDSU Graduate School of Public Health. Her primary research interest is on musculoskeletal health across the lifespan, in populations ranging from young athletes to frail elderly. She has a particular interest in bone health in children and adolescents, and in fall and fracture prevention in older adults. She volunteers with San Diego County Aging and Independence Services, which is the federally designated Area Agency on Aging, to develop, implement, and evaluate exercise programs targeted to improve strength, balance and mobility and reduce falls among older adults. She also serves as Principal Investigator on Project SPIRIT (Sports Injury Research in Teens), which is an on-going investigation of the Female Athlete Triad syndrome among high school athletes, and is Past President of the Female Athlete Triad Coalition, an international consortium of clinicians and researchers dedicated to improving prevention, recognition, and treatment strategies for Triad-related disorders.
Fred Raab is the lead systems engineer for the PACE research group and the Center for Wireless and Population Health Systems in the Department of Family and Preventive Medicine at UCSD. He is developing and evaluating wireless applications for collecting and analyzing data in the areas of physical activity, energy balance, and nutrition. He is the designer of e/Balance™, a smart-phone application that supports energetics and active-living research. e/Balance is both a hardware and software platform incorporating wireless sensors such as accelerometers, GPS receivers, and heart-rate monitors. In addition, Mr. Raab teaches the Qualcomm BREW software development classes for UCSD Extension’s CDMA and Embedded Engineering program.
Before relocating to San Diego in 2003, Mr. Raab was a founding member of LiveSky Solutions, a wireless developer in Boston, and was instrumental in the development of interactive multimedia and new media technologies. While in his last year of college, he founded Telematic Systems, a pioneering and award-wining videodisc development firm commercializing technologies developed at MIT's Media Lab for clients such as AT&T, Digital Equipment Corp, Ford, and General Motors. In 1987, as vice president for production at Interactive Media Communications, he led the firm's development and production teams in the creation of interactive multimedia training programs in industrial health and safety.
Dr. Rosing’s research interest is energy-efficient computing for embedded and wireless systems. Prior to her work in the SEE Lab (System Energy Efficient Lab) at UCSD, she was a researcher at Hewlett-Packard Labs, and at Stanford University she led the research of a number of graduate students and taught graduate-level classes. Her PhD in dynamic management of power consumption was earned in 2001 from Stanford University, concurrently with a master’s degree in engineering management. She also had a master’s degree in electrical and computer engineering from the University of Arizona, where her research was in high-speed interconnect and driver-receiver circuit design. Prior to pursuing her PhD, Dr. Rosing worked as a senior design engineer at Altera Corporation. She has served on a number of technical paper committees, and is currently an associate editor of IEEE Transactions on Mobile Computing.
Sameer Tilak is an Associate Research Scientist in the Qualcomm Institute, the UC San Diego division of Calit2. His research interests include sensor networks, stream data processing, mobile computing, and cloud computing. Tilak is also involved in designing and developing cyberinfrastructure for large-scale sensor networks. He has served as PI/Co-PI/Senior Personnel on numerous grants from NSF and private foundations. He is the PI of NSF-funded Sensor-Rocks award that is developing a novel integrated framework to improve software Operations and Management (O&M) and power management in environmental observing systems. He is also the PI of NSF-funded SenseHealth award for developing a platform to enable personalized healthcare through context-aware sensing and predictive modeling using sensor streams and Electronic Medical Record (EMR) data. In particular, this project is developing a novel cyberinfrastructure (CI) to automatically process and incorporate volumes of real-time data from sensors tailored to the individual in the context of personal EMRs and available environmental data. A core component of the CI is a collection of quantitative, predictive models that are sensitive to concerns across age, diseases, and health and variety of patient situations (ranging from low priority with no consequence on patient management to high priority requiring emergency evaluation), and sensor failures. The models will be integrated with a distributed real-time stream data processing system and a complex event stream processing engine to process sensor data in a scalable and fault-tolerant manner. In essence, SenseHealth is an essential step toward providing a real-time 360-degree snapshot of health to optimize patient-centered, evidence-based decisions and to empower patients to participate in their own healthcare.
Dr. Weibel's background is in computer science (BSc, MSc, and PhD from ETH Zurich, Switzerland 2000–2009) and cognitive science (postdoctoral fellow at UCSD 2009–2012). His research on human computer interaction and ubiquitous computing is situated at the intersection of computer science, cognitive science, communication, health, and social sciences.
As a computer scientist he investigates novel tools, techniques and infrastructure supporting the deployment of innovative interactive multimodal and tangible devices in context. As an ethnographer he develops novel methods to study and quantify the cognitive consequences of the introduction of this technology into everyday life.
Dr. Weibel's main interests range from software engineering to human-centered computing, including mobile health, computer supported cooperative work, social media, medical informatics, and mobile and ubiquitous computing. In his current work, he is developing theory and methods, designing representations, implementing prototypes, and evaluating the effectiveness of interactive multimodal physical-digital systems such as pen-based and touch-based devices, depth-cameras, and mobile devices in the setting of critical populations such as health care and education. He is a co-investigator on several research projects funded by the National Institutes of Health (NIH), the National Science Foundation (NSF), and the Agency for Healthcare Research and Quality (AHRQ).
Dr. Carlson received a PhD in Public Health from UC San Diego in 2012 and an MA in Psychology from San Diego State University in 2009. He is currently an NIH-funded Postdoctoral Fellow in the T32 Cardiovascular Disease Epidemiology program and a member of the UCSD Department of Family and Preventive Medicine’s Division of Behavioral Medicine. Dr. Carlson works with Dr. Jim Sallis on physical activity policy and environment studies and Drs. Kerr and Patrick on physical activity technology studies. His primary research interest is around scalability of physical activity interventions for population impacts. Dr. Carlson is an emerging leader in GPS and physical activity research through his work with the CWPHS. He is currently pursuing measurement projects that involve using visual computing to develop automated systems for assessing physical activity in environments and incorporating these systems into built environment evaluations and public health surveillance.
Dr. Jankowska received her PhD in Geography from San Diego State University and University of California Santa Barbara in 2013. Her dissertation research focused on children's perceptions of environmental health hazards in Accra, Ghana using digital photography and GPS devices. Throughout her dissertation she worked on numerous projects at SDSU as well as UCSB including: focus group research on adult health in Accra, Ghana; multilevel modeling of neighborhood effects on women's health in Accra, Ghana; geodemographic assessment of San Diego ethnic communities; and modeling of climate change effects on children's malnutrition in Mali.
As a Post-Doctoral researcher at CWPHS, Dr. Jankowska is developing methods and computational infrastructure for processing and analysis of large GPS and GIS datasets as related to physical activity studies. She has also contributed to the theoretical exploration of place as an integral aspect of understanding human health. She is currently leading two pilot projects on the environmental components of healthy aging in conjunction with STEIN, as well as on methods development for assessing spatial uncertainty in GPS and GIS data for physical activity studies.
Katherine Ellis is a fifth year PhD student in Electrical and Computer Engineering. Her research interests are in machine learning with applications to physical activity measurement and context awareness. She is currently working on activity classification algorithms for the Transdiciplinary Research in Energetics and Cancer initiative with Jacqueline Kerr. Ms. Ellis received her B.S. in Electrical Engineering from the University of Southern California in 2010, and grew up near Portland, OR. In her free time, she enjoys cycling, running, triathlon, and most things involving the outdoors.
Gina is a behavioral scientist with a strong background in psychology and measurement. Her research focuses on testing novel applications of technology for health promotion and disease prevention. Gina's current projects examine the role of social networks in supporting individual-level behavior change and how Facebook can be used as a platform for promoting weight-related behavior change. She is particularly interested in how friends influence physical activity and dietary behaviors online (versus face-to-face), and exploring the impact of computer-mediated communication on behavior. As an active member of the Human Nature Group (http://hng.ucsd.edu/index.html), Gina seeks to enrich her work in behavioral science by learning from other scientific disciplines.
Gina received her MA from Cal State San Marcos in 2011 and was awarded the Dean’s Outstanding Graduate Award for the College of the Arts and Sciences. She is also a former fellow of two NIH training grants through San Diego State University and the University of California San Diego. In her spare time, Gina enjoys cooking, gardening, playing soccer, spending time with her husband and dog, and running with her teammates from Prado Racing Team, a competitive running team in San Diego.
Mohammad Moghimi is a PhD candidate of Computer Science at the Computer Science and Engineering department of UCSD. He started his PhD after receiving MSc in Computer Engineering from Sharif University of Technology. Mohammad is a member of the Computer Vision lab at UCSD and is supervised by Prof. Serge Belongie. His research interests center around Computer Vision and Machine Learning. He is currently working on analysis of SenseCam images and designing the next generation annotation system to facilitate image annotation for physical activity machine learning research.
Michelle Takemoto graduated from UCSD in 2007 with a bachelor degree in both Cognitive Science and Psychology. She worked at the UCSD Stein Institute for Research on Aging with Dr. Dilip Jeste for a little over 6 years before joining the JDP for Public Health. Through the program, she works with Dr. Jacqueline Kerr and her main research interest involves promoting successful aging in the older adult population through increased preventive health including increasing physical activity and decreasing sedentary behavior.