Juba Ziani

I am an Assistant Professor in the School of Industrial and Systems Engineering at Georgia Tech and a recipient of the NSF CAREER Award. My research lies at the intersection of Computer Science, Operations Research, and Economics. I use tools from learning theory, game theory, and optimization to address technical and societal challenges arising from the rise of AI, ML, and data-driven decision making. I am particularly interested in: 1. The economics of data, in a world of exchanging data has become crucial to building powerful AI tools; 2. The privacy considerations from using larger and larger amounts of personal and sensitive data, with a focus on Differential Privacy; 3. The fairness considerations around AI, ensuring that algorithms and automated decision-making tools do not replicate human biases or introduce new biases; 4. The performance of ML models in high-stake environments when strategic user responses and distribution shifts are commonplace. Before starting at Georgia Tech, I obtained a PhD in Computer Science from the Computing and Mathematical Science Department at Caltech, where I was advised by Adam Wierman and Katrina Ligett, in 2019. I was a Warren Center Postdoctoral Fellow in the Department of Computer and Information Science at the University of Pennsylvania from 2019 to 2021.