About Me

I'm a Neuroscience PhD candidate advised by Dr. Paul Thompson at the Imaging Genetics Center at the University of Southern California. My research involves diffusion MRI analysis for mapping micro- and macro-structural changes of white matter tracts in neurodegenerative diseases. I'm also interested in developing and applying machine learning and AI methods for large-scale multi-site neuroimaging data to promote reproducibility and reliability of results.
For all inquiries, please email me at <yixuefen at usc.edu>.

Academic Background

• 2021 - Present：University of Southern California (PhD, Neuroscience)
• 2019 - 2021: University of Pennsylvania (MS, Computer and Information Science)
• 2015 - 2019: University of Virginia (BA Computer Science and BA Cognitive Science)

News and Updates

• 08/2024: Our paper Microstructural Mapping of Neural Pathways in Alzheimer’s Disease using Macrostructure-Informed Normative Tractometry has been accepted to Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association.
• 08/2024: New preprint! BundleAGE: Predicting White Matter Age using Along-Tract Microstructural Profiles from Diffusion MRI is now out on biorxiv.
• 08/2024: I passed my qualifying exam and am now a PhD candidate!
• 07/2024: Code for our new method Macrostructure-Informed Normative Tractometry (MINT) is now available on Github.
• 05/2024: Our work on generative AI-Based tractometry has been awarded a seed grant from USC GenAI Research Program ($50K)!

Code for MINT with pretrained model and example scripts are now available at https://t.co/JEurFNf1Ws! https://t.co/5In4jSaui8

— Wendy Feng (@wendyfyx) August 13, 2024