Our people are leaders in the fields of human genetics, sociology, mathematics, history, evolutionary biology, English literature and psychology, from the nations most prestigous institutions. About a third come from a computational modeling background who are interested in identifying and modeling knowledge generation and transmission processes. The remaining two thirds take the long view of science and scholarship and bring their expertise into meaningful conversations and research on topics that are of interest to them and to the Lab as a whole.
In the Limelight
Data Scientist, Enlitic
Develop deep learning algorithms for medical image diagnosis
Assistant Professor, Oregon Hearing Research Center, Oregon Health and Science University
Stephen V. David joined the OHSU faculty in Febrary 2012. Before coming to OHSU, he received his Ph.D. in Bioengineering from the University of California, Berkeley in 2006 and subsequently completed postdoctoral work in the Institute for Systems Research at the University of Maryland, College Park.
Neuroscience is a new but rapidly growing field, drawing ideas and methodologies from many other fields, including biology, psychology, physics, mathematics and philosophy. Each neuroscientist brings a unique perspective into their work that reflects this diversity. We are studying how academic mentorship, the hands-on training received at the doctoral and postdoctoral level, influences the work of individuals and permits the synthesis of new experimental approaches. Neurotree (http://neurotree.org) is a collaborative, open-access website that tracks and visualizes the academic genealogy. After nine years of growth driven by user-generated content, the site has captured information about the mentorship of over 45,000 neuroscientists. It has become a unique tool for a community of primary researchers, students, journal editors, and the press. The database allows us to explore the evolution of new ideas and how mentorship has contributed their development. We are exploring new ways to improve the quality of the existing data and ways to link Neurotree to other datasets, such as publication and grant databases. Inspired by Neurotree's example, genealogies have been launched for a number of other fields under auspices of the Academic Family Tree, which aims to build a single genealogy across all academic fields.