Eaman Jahani

I am an assistant professor of Information Systems at University of Maryland Business school. Previously, I was a postdoctoral associate at UC Berkeley department of Statistics until January 2024. I received a dual PhD in Social and Engineering Systems and Statistics from IDSS and the Statistics and Data Science Center at MIT.

My PhD research is focused on micro-level structural factors, such as network structure, that contribute to unequal distribution of resources or information. As a computational social scientist, I use methods from network science, statistics, experiment design and causal inference. I am also interested in understanding the collective behavior in institutional settings, the institutional mechanisms that promote cooperative behavior in networks, or in contrast lead to unequal outcomes for different groups.

In a previous life, I worked at Google New York City as a software engineer from 2011 to 2015. At Google, I worked on several products around the AdWords ad auction. We analyzed the ad auction dynamics and developed relevant suggestions for advertisers. I received my Bachelor’s and Master’s degrees in Computer Science both from the University of Michigan - Ann Arbor.