People

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

Shahab Asoodeh

Postdoctoral Scholar, University of Chicago

I am interested in the applications of discrete (differential) geometry and information theory in machine learning and network science. In particular, my main research at the Knowledge Lab focuses on the following two broad questions:  1) How to quantify geometry of graphs, simplicial complexes, and more generally, hypergraphs and to interpret them in real-world networks? And 2) How to use geometry and information theory to define and quantify fairness and privacy in machine learning and data mining?

I am fortunate to work with James Evans at the Knowledge Lab and Ishanu Chattopadhyay at the Institute of Genomics and System Biology (IGSB).

I received my PhD and MSc both in applied mathematics from Queen’s University, Canada, in 2017 and  2011 and a MSc in Electrical Engineering from ETH Zurich and TU Delft in 2010. 

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Lingfei Wu

Postdoctoral Scholar, University of Chicago

My research interest is the sciences of collaboration and innovation. I apply mathematical models and machine learning techniques to analyze collective knowledge production systems, including Web of Science, U.S. patents, Stack Exchange, GitHub. My works were published on journals including Physical Review E, Scientific Reports, PloS ONE, and also generated broad interested among diverse audience in New Scientists and Science Daily. I got my PhD in Communication from the City University of Hong Kong in 2013. Overlapping with the PhD program I spent a year in Baidu as an algorithm engineer (internship). I joined Knowledge Lab in 2016 after working two years in the Center for Behavior, Institutions and the Environment at Arizona State University as a post-doc researcher. I am a core member of Swarma Club, a research network in Beijing with a vision to bridge academic, industry, and government. I love dogs but never got a chance to keep one. I am hosting Lu Gu (meaning yesterday once more in Chinese), a Podcast to encourage guests (mostly junior scientists) to share awkward moments and tough times of life. Find me at lingfeiw AT uchicago.edu if you are not a robot and got real questions to ask.

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