معرفی
Kate Larson is a Professor at the David R. Cheriton School of Computer Science, University of Waterloo. Her research explores artificial intelligence with emphasis on multiagent systems, reinforcement learning, and AI applications for sustainability and climate challenges. She employs game-theoretic approaches to address coordination and cooperation in complex systems.
Education
Ph.D. in Computer Science from Carnegie Mellon University (2004), M.Sc. from Washington University in St. Louis (1999), and B.Sc. from Memorial University of Newfoundland (1997).
Research Focus
Professor Larson's work bridges theoretical AI and practical societal impacts. Key areas include:
- Designing cooperative AI frameworks for multiagent environments
- Developing value-alignment mechanisms for ethical AI
- Applying reinforcement learning to climate change mitigation
- Creating robust AI systems through game-theoretic guarantees
Publication Trends
Her recent publications (2024-2025) demonstrate strong focus on AI safety, game-theoretic foundations, and multimodal learning systems. Dominant themes include: algorithmic alignment techniques, multi-agent risk management, and interpretable AI architectures, with increasing emphasis on real-world climate and sustainability applications.
Awards & Recognition
No major scientific awards mentioned in source materials.
Research Infrastructure
No specific labs or teams detailed in available information.
