About Me

Education

Postdoctral Fellow , Aug 2023
Department of Biostatistics & Psychiatry, Columbia University
Ph.D. , May 2021
Department of Biomedical Engineering, Tulane University
B.Sc. in Statistics, Jun 2014
School for the Gifted Young, University of Science and Technology of China (USTC)

Research Interests

My research interests span in the field of mental health data science, with a focus on developing statistiscal and computational approaches leveraging multi-modal imaging and genetics to understand typical and atypical brain development.

  • Graphical Models (Directed/Undirected)
  • Machine Learning in Neuroscience
  • Multimodal Fusion
  • Data types: MRI, DTI, fMRI, MEG, SNP, DNA methylation
  • Psychiatric Diseases: Schizophrenia, Alzheimer's disease, Obsessive-compulsive disorder, etc.

News

Mar 27, 2025

Our paper was accepted by Medical Imaging with Deep Learning (MIDL) for poster presentation. Congratulations to Ellery!

Mar 27, 2025

Aiying gave a talk at MSU STT Colloquium.

Mar 25, 2025

Our paper "Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks" has been accepted by Medical Image Analysis. Preprint

Jan 22, 2025

Our abstract was accepted by SDSS 2025 and selected for oral presentation. Congratulations to Jiajia!

November 21, 2024

Aiying gave a talk at UVA Statistics Department Colloquium.

November 14, 2024

Aiying gave a talk at UVA Psychology Department Design and Data Analysis (DADA) meetings.

Oct 29, 2024

Two of our papers were accepted by SPIE Medical Imaging and selected for oral presentation. Congratulations to Kurt, Aroosha and Ellery!