Byron Reeves received a B.F.A. in graphic design from Southern Methodist University and his M.A. and a Ph.D. in communication from Michigan State University. Prior to joining Stanford in 1985, he taught at the University of Wisconsin where he was director of graduate studies and associate chair of the Mass Communication Research Center. He teaches courses in mass communication theory and research, with particular emphasis on psychological processing of interactive media. His research includes message processing, social cognition, and social and emotion responses to media, and has been published in books of collected studies as well as such journals as Human Communication Research, Journal of Social Issues, Journal of Broadcasting, and Journalism Quarterly. He is co-author of The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places (Cambridge University Press).

Stevens is an organizational sociologist with longstanding interests in the quantification of educational processes, alternative educational forms, and the formal organization of knowledge.

Research areas include traditional Chinese poetry, aesthetics, literary culture, social history, storytelling, and the relations between the literary and visual arts. Current project include a study of Hong Mai's *Yijian zhi* (12th c.), a translation of the complete poetry and prose of Li Qingzhao, and inscriptions of Tang poetry on paintings of the Ming-Qing period.

Dr. Nigam Shah is associate professor of Medicine (Biomedical Informatics) at Stanford University, Assistant Director of the Center for Biomedical Informatics Research, and a core member of the Biomedical Informatics Graduate Program. Dr. Shah's research focuses on combining machine learning and prior knowledge in medical ontologies to enable use cases of the learning health system.

Dr. Shah received the AMIA New Investigator Award for 2013 and the Stanford Biosciences Faculty Teaching Award for outstanding teaching in his graduate class on “Data driven medicine”. Dr. Shah was elected into the American College of Medical Informatics (ACMI) in 2015 and is inducted into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.

Social and environmental determinants of health; role of workplace physical environment and work organization as causes of chronic disease and disability

Epidemiology and genetic of neurodegenerative diseases (Parkinsons disease, amyotrophic lateral sclerosis), epidemiologic methods, pharmacoepidemiology.

Mohsen received a BS in Mathematics from Sharif University of Technology and a PhD in Electrical Engineering from Stanford University in 2007. His dissertation was on algorithms and models for large-scale networks. During the summers of 2005 and 2006 he interned at IBM Research and Microsoft Research respectively. He was a Postdoctoral Researcher with Microsoft Research from 2007 to 2009 working mainly on applications of machine learning and optimization methods in healthcare and online advertising. In particular, he helped develop a system for predicting hospital patient readmissions and obtained a decision support mechanism for allocating scarce hospital resources to post-discharge care. Their system is currently used in several hospitals across US and Europe. He was a Postdoctoral Scholar at Stanford University from 2009 to 2011 with a research focus in high-dimensional statistical learning. In 2011 he joined Stanford University as a faculty, and since 2015 he is an associate professor of Operations, Information, and Technology at Stanford University Graduate School of Business. He was awarded the INFORMS Healthcare Applications Society best paper (Pierskalla) award in 2014 and in 2016, INFORMS Applied Probability Society best paper award in 2015, and National Science Foundation CAREER award.

Dr. Milstein is a Professor of Medicine and directs Stanford's Clinical Excellence Research Center. The Center designs and demonstrates in diverse locations scalable health care delivery innovations that provide more with less. Before joining Stanford's faculty, he created a national healthcare performance improvement firm and co-founded three nationally influential public benefit initiatives, served as a Congressional MedPAC Commissioner, and was elected to the Institute of Medicine (IOM).