Ryan Hayward

Ryan Hayward is Professor in Computing Science at the University of Alberta. His research develops algorithms for combinatorial games and AI systems, with focus on solving complex problems in Hex and Go through novel search techniques.

Research highlights:

• Monte Carlo tree search enhancements for board games
• Proof number search optimization methods
• Virtual connection strategies in Hex
• Neural network architectures for game AI

Publications introduce fundamental advances in game-solving algorithms validated through championship-level AI systems. Research bridges theoretical computer science and practical AI implementations.