Huitian CHEN

Research interests

• I am a master student of Centre for Cognitive and Brain Sciences. My research interest mainly focus on Computational Neurolinguistics and AI for Brain Encoding/Decoding. My journey began with a B.Sc. in Teaching Chinese to Speakers of Other Languages, where studying cross-linguistic semantic structures sparked my fascination with how meaning is organized in the brain. This led me to pursue questions at the intersection of neuroscience and language.


• My research approach combines neuroimaging methods (fMRI/EEG) with computational modeling techniques. Usually, I work with Python for data analysis and neural network implementations, using LLM embeddings to quantify cognitive processes that traditional methods struggle to capture. What drives my work is the belief that AI can illuminate hidden patterns in human cognition, while neuroscience insights can deepen our understanding of how language truly works in the brain.