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 and journals such as IJCAI, Robotics and Autonomous Systems (RAS), KR and CogSci. I was awarded the best student paper at AAMAS2024.

I am currently a Research Fellow (level B) at Monash University, working on the project Hierarchical Abstractions and Reasoning for Neuro-Symbolic Systems. In this role, I designed and implemented the hierarchical symbolic algorithm to effectively navigate and search in unknown environments. Prior joining this project, I was 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. 

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.