معرفی
Catie Chang is an Assistant Professor at Vanderbilt University, holding dual appointments in the Department of Electrical and Computer Engineering and the Department of Computer Science. She leads the Neuroimaging & Brain Dynamics Lab, focusing on advancing neuroimaging methodology through interdisciplinary collaboration with neuroscience, engineering, and medicine.
Research Interests:
- Dynamic brain states and functional connectivity
- EEG-fMRI signal integration
- Physiological basis of neuroimaging signals
- Machine learning for multimodal data
- Aging and autonomic brain-body interactions
Selected Article Trends: Recent publications emphasize autonomic coupling, aging studies, multimodal integration, and machine learning applications in neuroimaging. Her work bridges biomedical engineering and cognitive neuroscience to develop tools for disease biomarkers.
Scientific Awards:
- OHBM Early Career Investigator Award (2023)
- Sally and Dave Hopkins Faculty Fellow (2023)
Lab Leadership: Mentored 8 PhD students and postdocs, including Haatef Pourmotabbed (F31 Fellow), Shiyu Wang, and Kim Rogge-Obando. Lab members have received multiple accolades at conferences like OHBM, MICCAI, and ISBI.
