Chun-Hui Li (李俊輝) joined the lab in April 2025 as a postdoctoral research fellow, funded by the National Science and Technology Council of Taiwan (2025 - 2027). He received a B.S. in Information Management from National Yunlin University of Science and Technology and an M.S. in Computer Science from National Chengchi University. He later obtained his Ph.D. in Psychology at National Taiwan University, where he worked with Dr. Bo-Cheng Kuo to investigate visual perception and object selectivity using neuroimaging methods and computational approaches. During his Ph.D., Chun-Hui was awarded a one-year scholarship that supported his stay as a visiting student in Prof. Dr. Radoslaw Cichy’s lab at Freie Universität Berlin.

 For more information, please visit his personal website and Google Scholar profile.

In his doctoral research, he focused on how visual information is processed and transformed during object perception, particularly how neural representations for different objects are modulated by top-down attention. He applied machine learning algorithms to analyze MEG and fMRI data to examine the spatiotemporal dynamics and representational similarity underlying object recognition. He also conducted fusion analyses combining MEG with fMRI or deep neural network (DNN) features using representational similarity analysis (RSA), revealing how and when attention enhances object representations within distinct category-selective brain regions, including the fusiform face area (FFA) and parahippocampal place area (PPA).

Currently, his research primarily investigates the developmental trajectory of the visual system, focusing on how visual object processing evolves from childhood to adulthood and how these changes relate to patterns in artificial vision systems.