Chin-Hui Chen, a Ph.D. student in Computational Neuroscience in the NDNE Lab at Virginia Tech, is dedicated to unraveling the intricate origins of intelligence from both biological and artificial perspectives. Chen’s current research centers on sleep-mediated learning and brain-computer interfaces (BCI). 

After earning his M.S. and B.S. degrees in Information Retrieval (IRLab) from National Taiwan University, he joined the Machine Discovery Lab (MSLab) at National Taiwan University and the Center for Research in Cognitive Science at National Chung Cheng University, where he pursued research in cognitive neuroscience and machine reasoning. In the MSLab, Chen experimented with memory-augmented neural networks to address challenges in natural language reasoning. He also conducted researches on dynamic causal models using neuroimaging data (fMRI, MEG) to explore the brain’s neural dynamics. 

Driven by a passion for applying data science techniques to neural data, Chen aspires to build bio-inspired neural models that deepen our understanding of the mind and brain. Ultimately, his dream is to uncover the principles of natural intelligence and leverage artificial narrow intelligence to discover the scientific foundations of general intelligence.