If the brain is akin to a planet, there are a multitude of unknown territories yet to be explored. At the crux of understanding the brain is one's knowledge of the various functions and processes that allow it to operate. I am deeply fascinated by neuroscience and driven to apply multidisciplinary approaches to unravel these complexities.

My research centers on investigating the neurocomputational mechanisms underlying cognition, with the broader goal of building a model of the mind. This work ranges from decoding fMRI data using machine learning techniques to modeling learning and memory through behavioral experiments.

I am currently pursuing a Ph.D. at the National University of Singapore under the guidance of Andrew Tan, Camilo Libedinsky, and Shih-Cheng Yen. I hold dual B.Sc. degrees in Biomedical Informatics from Zhejiang University and the University of Edinburgh, where I completed my thesis on multi-voxel pattern analysis of human memory and emotions under the supervision of Gedi Lukšys. I also conducted a research training project under Anna Wang Roe, where I contributed to experiments, data analysis, and visualization of Infrared Neural Stimulation (INS) with fMRI.

My current work is focused on developing biologically plausible models of spatial learning and associative memory.