Shannon Mejía Institute for Social Research, University of Michigan, Ann Arbor, MI
Shannon Mejía is a research fellow in the Psychosocial Aging Group and the Biosocial Methods Collaborative at the Institute for Social Research at the University of Michigan. She received her Ph.D. in Human Development and Family Studies at Oregon State University. Her research examines how older adults respond and adapt to changes in their environments, and the potential for technology to assist in these processes. Shannon’s current projects examine the effects of person and context on accurate interpretations of data visualizaitons, couple’s shared experiences and beliefs, and older adults’ experiences of he alth and well-being in their daily lives.
Hyunggu Jung Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA
Hyunggu Jung is a Ph.D. candidate and predoctoral research associate in Biomedical and Health Informatics at the University of Washington, School of Medicine. He received his B.S. in Computer Science and a minor in Business Economics from Korea Advanced Institute of Science and Technology (KAIST) in 2008, his M.Math with specialization in artificial intelligence from the University of Waterloo in 2010, and his M.S. with specialization in human-computer interaction from Stanford University in 2012. Further, he worked at Microsoft Research and Palo Alto Research Center (PARC) as a research intern in 2013 and 2015, respectively. He has designed, developed, and evaluated tools for helping individuals with special needs in the fields of sharing economy, social media, health, and education. His current study is focused on investigating innovative approaches to improve the accuracy of dietary assessment for older adults.
Beenish M. Chaudhry Interdisciplinary Center for Network Science and Applications, University of Notre Dame, Notre Dame, IN (corresponding organizer)
Beenish Chaudhry is a Postdoctoral Researcher in the Interdisciplinary Center for Network Science and Applications at the University of Notre Dame. She earned her Ph.D. in Health Informatics and Human-Computer Interaction from Indiana University at Bloomington. Beenish's research interests lie at the intersection of pervasive/ mobile computing, human-computer interaction and health informatics. In her current project, she is exploring mobile application design guidelines for low income older adults, and the influence of mobile application based interventions on the health and well-being of older adults.