Dr. Vo is an Associate Professor in the Center for Neurosciences at the Feinstein Institutes for Medical Research. Her research focuses on developing advanced analytic approaches for resting state functional MRI, diffusion MRI, and biological data in order to explore the functional and structural brain network architectures in lupus, dystonia and Parkinson's disease. This information help identify core zones within the disease network for optimal therapeutic targeting. She is currently using deep learning and artificial intelligence algorithms to establish reliable, noninvasive and safe neuroimaging biomarkers, which enable the early detection of neurological disorders, measurement of disease progression, and objective evaluation of treatment outcomes, thereby providing a more comprehensive understanding of the diseases. Dr. Vo has published 42 peer-reviewed articles and served as a Principal Investigator on two grants studying: (1) Three-dimensional network architecture of dystonia; funded by the Dystonia Medical Research Foundation, and (2) A novel method for Parkinson's Disease-related network identification and validation with resting-state functional MRI; funded by The Michael J. Fox Foundation for Parkinson's Research. She has also been a co-investigator on three federally funded grants studying functional and structural brain networks in dystonia (R01 NS 072514, 2011-2017), Parkinson's disease (R01 NS 083490, 2013-2018) and Lupus (P01 AI 073693, 2014-2025). She is the recipient of honors including: Award of Excellence in Research, Career Enhancement Award from the Feinstein Institutes, and Innovation Award from Advancing Women in Science and Medicine. Dr. Vo completed her post-doctoral fellowship in functional brain imaging at the Feinstein Center for Neurosciences. She was trained in medical image processing, bioinformatics and machine learning at the University of Texas at Arlington in the department of Electrical Engineering. She received her Ph.D. in Electrical Engineering from the University of Texas at Arlington, and Master and Bachelor of Electrical Engineering degrees from HCMC University of Technology.