🐦⬛About Me
I am a dedicated graduate student in the M.Sc. in Information Technology & Cognition program at the University of Copenhagen, fully funded by the prestigious Danish Governmental Scholarship. My academic journey includes a dual background in mathematics and economics, complemented by a minor in cognitive science, earned from Renmin University of China, where I graduated as an Outstanding Graduate in School of Information.
- AI for Brain Science
- Computational Neuroscience
- Neuroimaging
Univeristy of Copenhagen
M.Sc. in IT and Cognition
Renmin University of China
B.S. in Mathematics & B.A. in Economics
My research interests lie at the intersection of artificial intelligence, neuroscience, and neuroimaging, with a focus on developing computational models to uncover insights from brain data. During my studies, I have designed a neural network for cognitive load classification and created an automated spike sorting tool to improve data analysis in high-resolution electrophysiology recordings etc..
Looking forward, I am excited to explore how AI can be further leveraged to understand the intricacies of brain function and connectivity. My goal is to contribute to the advancement of AI methodologies for analyzing neural data, especially through EEG, MRI, and extracellular electrophysiology, to support breakthroughs in neuroscience and neuroimaging.
Please reach out to collaborate 😃