Junqi Wang, PhD, is a research fellow in the lab. He received his BS degree in Math and Applied Mathematics from Nanjing University of Science and Technology (Nanjing, China). He earned his Ph.D. degree in Biomedical Engineering in 2021 from Tulane University (New Orleans, LA, US). His research focuses on developing graph-based approaches for medical image analysis. Specifically, he applied graph topological features, graph signal processing, and graph deep learning models to study mental disorders (schizophrenia, ADHD, bipolar disorder) and brain development. His current studies include disease prediction and biomarker detection with hypergraph learning based deep learning models.
Machine learning; graph signal processing; deep learning; medical imaging analysis
Post-doctoral Research Fellows
Radiology, Imaging Research Center
Post-doc Research Fellow
Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 2021.
Doctor of Philosophy (Ph.D.)
Biomedical Engineering, Tulane University, New Orleans, LA, 2021
Bachelor of Science (B.S)
Math and Applied Mathematics, Nanjing University of Science and Technology, China 2015