An IEEE Fellow. Has written several technical textbooks and books aimed at a broader audience. Supervises multiple PhD students working on cutting-edge topics such as open-ended learning, fairness in AI-assisted assessment, and game generation through quality-diversity and foundation models.
Research Experience
Currently an Associate Professor at the Department of Computer Science and Engineering, Tandon School of Engineering, New York University, and Director of the NYU Game Innovation Lab. His contributions mainly lie in applying AI in video games, including procedural generation of game content, human-like game playing, mixed-initiative design, and game adaptation based on models of player experience. He has also worked on applications in areas like biometric security, oil field modeling, personnel selection, and music composition. His primary algorithmic contributions are in evolutionary computation, especially quality-diversity search methods.
Education
No specific educational background information provided.
Background
An AI researcher with interests in creativity, video-games, and open-endedness. His research focuses on questions such as: How can AI systems design their own goals to learn surprising skills? How can we use AI to make games more fun? How can AI help people be more creative, especially while designing video games? And how can we use video games to test and improve AI models?
Miscellany
Enjoys writing, including blogs and technical articles. Has a history of starting small companies and advising larger ones. Currently serves as Head of AI for Nof1 and is a member of Unity's AI Council.