Bryan specializes in machine learning and explainable AI, participating in a diverse range of projects from industrial real estate data analysis to multidisciplinary research. He is skilled in using deep learning models to solve problems and employs explainable AI techniques for post-hoc analysis of model predictions. Currently, Bryan is involved in projects that connect agriculture with explainable AI and collaborates with Victor Chu.

Bryan's academic journey started with a bachelor's degree in Marine Technology from Ocean University of China, followed by a master's degree in Computer Science with a focus on AI from the Australian National University. He completed his PhD at the University of Technology Sydney, where he focused on explaining imitation learning in multimodal environments. Beyond his academic pursuits, Bryan enjoys cooking and scuba diving.