I am currently a Research Fellow (level B) in Monash University and a member of the Monash Robotics. I am working with Dr. Pamela Carreno-Medrano, Professor Dana Kulic and Dr. Michael Burke on the ARC discovery project Human models for accelerated robot learning and human-robot interaction. Previously, I was a Research Assistant on the research project HARNESS: Hierarchical Abstractions and Reasoning for Neuro-Symbolic Systems, where I designed and implemented the hierarchical symbolic algorithm to effectively navigate and search in unknown environments.

Prior to joining Monash University, I was a PhD student in Artificial Intelligence at the School of Computing and Information Systems, The University of Melbourne and a member of the Agent Lab Group and Computational Cognitive Science Lab, under the supervision of Associate Professor Nir Lipovetzky and Professor Charles Kemp. My research focuses on leveraging human modeling to enhance the performance and explainability of AI systems in the context of human-AI interaction. I've published papers on A*/A conferences like AAMAS, ICAPS, CogSci as first author, and have taken on roles as Program Committee member and reviewer for various conferences such as IJCAI and CogSci. I was honerd to be awarded the best student paper at AAMAS2024.

I completed my Master degree at the the School of Computing and Information Systems, The University of Melbourne, and achieved placement on the Dean's Honor List for two consecutive terms due to my outstanding academic performance. Before relocating to Australia, I earned my bachelor's degree from Peking University with a major in Cognitive Science and a minor in Statistics. Simultaneously, as a Research Assistant in neuroscience at The Institute of Psychology, Chinese Academy of Sciences, I focused on creating a real-time fMRI signal visualization platform using MATLAB. 

Selected Awards and Achievements

Teaching Experience