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.

As a computational social scientist, he employs methodologies from network science, statistics, experiment design and causal inference to investigate three broad research themes: evaluating the impact of social norm interventions through network experiments, investigating structural factors that drive collective behavior and unequal distribution of resource in organizations, and studying the impact of AI in business, particularly in the context of human-AI collaboration and its influence on creativity and productivity.

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.