Resume
Academic Achievements
- Academic achievements: Published paper “Atlas-free Brain Network Transformer”.
Research Experience
- Research experience: Serves as an Assistant Professor in the Computational Neuroscience and Artificial Intelligence (CNAI) Lab, focusing on developing machine learning and artificial intelligence methods to address challenges in neuroscience, particularly through analyzing neuroimaging data to uncover mysteries of the brain and understand cognitive mechanisms.
Background
- Research interests: machine learning, AI for healthcare, MRI, computational imaging, numerical optimization. Brief introduction: Assistant Professor at the Department of Electrical and Computer Engineering and Neuroimaging Center, Auburn University.
Miscellany
- Miscellaneous: The CNAI lab is actively looking for highly motivated students to join.