Xinhui Li

I am a second-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 Dr. Vince Calhoun and Dr. Rogers Silva. Previously, I worked as a research engineer at the Child Mind Institute, where I developed a software pipeline C-PAC for MRI preprocessing and analysis.

I used to be an engineer dreaming to connect brains and computers, now I am growing as a scientist attempting to solve fundamental questions in neuroscience and computer science. My current research interests include multimodal neuroimaging and unsupervised representation learning. To better understand different aspects of brains, I am developing a multidataset subspace analysis framework including both linear and nonlinear latent variable models to identify linked sources from multimodal neuroimaging datasets. Apart from my job, I am curious about biological and artificial intelligent algorithms and systems. I believe that understanding the principles of neural computation will help us to develop more flexible artificial intelligence algorithms and build more energy-efficient machines.

Please feel free to reach out if you want to discuss any questions or collaboration opportunities. I would also love to hear your feedback so I can learn and grow.