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
PhD Student, Mathematics, Stanford University
Mathematics PhD student at Stanford. I am interested in machine learning and, more generally, using quantitative ideas to understand complex problems. In my free time I enjoy bicycling and baking.
Postdoctoral Scholar, University of Chicago
My research interests include characterizing and promoting diversity in scientific research, and the importance of language and social context in science--how concepts flow and meaning changes between scientific fields and popular discourse.
Before joining the Knowledge Lab in autumn 2020, I did a PhD in theoretical chemistry in the Vaikuntanathan lab at the University of Chicago. My thesis explored how consuming energy allows biological and physical systems to adapt and operate robustly in noisy environments.
Personal website: https://cdeljunco.github.io/me/