Xinhui Li

I am a postdoctoral researcher at the Center for Translational Research in Neuroimaging and Data Science. I completed my Ph.D. at the Georgia Institute of Technology, advised by Prof. Vince D. Calhoun and Dr. Rogers F. Silva. During my Ph.D., I interned as a data scientist at Amazon. Previously, I worked as a research engineer at the Child Mind Institute, advised by Dr. Michael P. Milham and Dr. Ting Xu.

I seek to understand principles of neural computation. To that end, I develop methods and tools to analyze large-scale neuroimaging data and study the brain in health and disease. My work spans these areas:

• Multimodal Representation Learning: I develop multimodal fusion methods that learn latent representations from high-dimensional, multimodal neuroimaging data, with a focus on identifying phenotypic and neuropsychiatric biomarkers.
  • Related work: MSIVA, MMIVA, Torch-MISA
• AI for Mental Health: I design generative models, agentic systems, and neuroimaging-based metrics for characterizing and assessing neuropsychiatric disorders, with the goal of improving diagnosis and treatment of mental illness.
  • Related work: Functional Network Connectivity Interpolation, AI Psychiatrist Assistant, Brainwide Risk Score
• Open and Reproducible Science: I investigate variability in neuroimaging preprocessing pipelines and contribute to open-source tools and standards to improve the reproducibility and reliability of neuroimaging analysis.
  • Related work: Interpipeline Agreement, C-PAC, NMIND
• Cross-Species Neuroimaging: I build deep learning models for brain extraction and segmentation across species, including non-human primate MRI.
  • Related work: DeepBet, DeepSeg

I love art in many forms. I often spend my free time at museums and theaters. I collaborate with talented artists to create artwork related to my research, such as Butterfly Effect and Schizosymphony. I also enjoy reading, playing tennis, and watching soccer games (Argentina/Barcelona).

As a first-generation scholar, I am committed to creating open, inclusive research culture. Please feel free to reach out if you would like to discuss research questions or collaboration opportunities.