Published papers: 'Learning Controllable 3D Level Generators' (Proceedings of the 17th International Conference on the Foundations of Digital Games, 2022), 'Diversity and Novelty MasterPrints: Generating Multiple DeepMasterPrints for Increased User Coverage' (2022 International Conference of the Biometrics Special Interest Group, 2022). Additionally, he passed his qualifying exam and became a co-organizer of the 'Special Session on Games' at WCCI/CEC2024.
Research Experience
Worked at the NYU Game Innovation Lab, contributing to various projects, including research on PCG in games and the synthesis of biometric information.
Education
PhD: New York University, Computer Science; Master's: New York University, Electrical and Computer Engineering; Bachelor's: Sun Yat-sen University, Optoelectronic Information Science and Engineering. Advisor: Prof. Julian Togelius.
Background
Research interests include procedural content generation (PCG) in games and generating synthetic biometric information (iris and fingerprint data). His professional field is Computer Science, and he describes himself as a researcher, programmer, traveler, photographer, and video editor.
Miscellany
Personal interests include traveling, photography, and video editing.