James Wright

James Wright is an Assistant Professor in the Faculty of Science at the University of Alberta, specializing in Computing Science. He holds a PhD and focuses on game theory, behavioral modeling, and reinforcement learning, with applications in algorithmic fairness and multi-agent systems.

His research examines human strategic behavior through computational models, developing methods to predict and evaluate decision-making in games. Recent work explores meta-learning for Nash equilibria, behavioral model validation, and fairness in algorithmic processes.

Dr. Wright's publications demonstrate consistent focus on integrating theoretical game frameworks with machine learning techniques to solve practical problems in decision optimization and system design.

He leads research on reinforcement learning adaptations for multi-player environments and vulnerability detection in software systems.