Xinhui Li

My name is Xinhui Li (黎欣惠). I am a fourth-year Ph.D. student in Electrical and Computer Engineering at the Georgia Institute of Technology and the Center for Translational Research in Neuroimaging and Data Science (TReNDS), advised by Prof. Vince D. Calhoun and Dr. Rogers F. Silva. Previously, I developed a software pipeline C-PAC for MRI preprocessing and investigated interpipeline agreement at the Child Mind Institute.

I used to be an engineer dreaming to connect brains and computers, now I am growing as a scientist attempting to solve fundamental problems in neuroscience and computer science. My current research interests include representation learning, multimodal neuroimaging, AI for health and science. To gain a comprehensive understanding of the brain, I am developing a deep multidataset subspace analysis framework including linear and nonlinear latent variable models (ICA/IVA/ISA) to learn linked and identifiable representations from multimodal neuroimaging datasets. Apart from my job, I am curious about biological and artificial intelligence. I believe that understanding the principles of neural computation will help us to develop more flexible algorithms and build more energy-efficient machines. Please feel free to reach out if you want to discuss any research questions or collaboration opportunities.

I love reading and listening to classical music. I also collaborate with talented artists to create artwork related to my research, such as Butterfly Effect and Schizosymphony. I am married to Yannan Chen. I feel fortunate to grow up with him.