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

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).

I am an Associate Professor at the Computer Science Department at Stanford University. I received my Ph.D. degree from California Institute of Technology, and a B.S. in Physics from Princeton University.

I am currently the Director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab, where I work with the most brilliant students and colleagues worldwide to build smart algorithms that enable computers and robots to see and think, as well as to conduct cognitive and neuroimaging experiments to discover how brains see and think.

I am an assistant professor at Stanford University. From 2011–2014, I did my Ph.D. at MIT, advised by Hari Balakrishnan. Previously, I spent a year at Ksplice, Inc., a startup company (now part of Oracle Corp.) where I was the vice president of product management and business development and also cleaned the bathroom. Before that, I worked for three years as a staff reporter at The Wall Street Journal, covering health care, medicine, science and technology. I did my undergraduate work at MIT, where I received a B.S. (2004) and M.Eng. (2005) in electrical engineering and computer science. I also received an E.E. degree in 2014.