Xiang is a postdoctoral fellow at Harvard Medical School, Harvard University, working with Prof. Marinka Zitnik.
His research interests lie in graph representation learning, data mining, and deep learning with applications in healthcare, Brain-Computer Interfaces (BCIs), and biomedical sciences. Xiang's work has published in prestigious conferences (such as ICLR, NeurIPS, and KDD) and journals (like Nature Computational Science), along with a book in deep learning for BCI.
Xiang received his Ph.D. degree (in 2020) in Computer Science from the University of New South Wales (UNSW) while supervised by Dr. Lina Yao in Data Dynamics (D2) lab. Xiang received his Master degree (in 2016) from Harbin Institute of Technology (HIT), China.
