James Bailey

James Bailey is an Assistant Professor in the Department of Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI). His research bridges optimization, data analytics, machine learning, and social choice through interdisciplinary methodologies. He is affiliated with the Institute for Data Exploration and Applications (IDEA).

• Ph.D., Algorithms, Combinatorics, and Optimization, Georgia Institute of Technology, 2017
• M.S., Industrial Engineering, Kansas State University, 2012
• B.S., Mathematics, Kansas State University, 2012
• B.S., Industrial and Manufacturing Systems Engineering, Kansas State University, 2012

His research focuses on optimization and game theory, particularly analyzing zero-sum games, spatial social choice, and algorithmic fairness. Key trends include leveraging gradient descent methods for equilibrium characterization, geometric approaches to voting models (e.g., yolk centers), and machine learning applications in safety engineering and matching algorithms.

Selected publications include work on multiagent learning in zero-sum games (AAMAS 2019 nomination), network flows, and predictive models for flammability properties. He teaches courses such as Deterministic Methods in Operations Research and Systems Modeling in DSES.

• Nominated for Best Paper at AAMAS 2019 for "Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System"