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Juba Ziani is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. He completed his Ph.D. in Computing Mathematical Sciences at the California Institute of Technology in 2019, where he was advised by Katrina Ligett and Adam Wierman. His research interests focus on Game Theory, Mechanism Design, Market Dynamics for Data, Fairness in Machine Learning, and Online Learning. He has held a Postdoctoral Fellow position at the Warren Center for Network and Data Sciences at the University of Pennsylvania, collaborating with prominent researchers including Sampath Kannan, Michael Kearns, Aaron Roth, and Rakesh Vohra. Juba's work employs game theory and optimization to tackle technical and societal challenges posed by advancements in AI and machine learning, especially in terms of data-driven decision-making and fairness in automated systems. His ongoing research explores the economics of data exchange in AI systems, fairness considerations in algorithmic decision-making, and the performance of ML models in high-stakes environments.
Department of Computer Science: GRE scores are optional for Fall 2026.