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Seyed A. Esmaeili is a Postdoc at the Data Science Institute at the University of Chicago where he is hosted by Haifeng Xu. Previously, he was a Postdoc at the Simons Laufer Mathematical Sciences Institute at Berkeley where he was affiliated with the algorithms, fairness, and equity program. Before that he was a PhD student at the University of Maryland, College Park. His broad research interests are in the interaction between algorithms, data and individuals and society. More concretely, his work revolves around machine learning, fairness, and game theory. His awards include multiple fellowships from the University of Maryland as well as the outstanding graduate research assistant award.