Song Wang joins UCF from the University of Virginia, where he earned his doctoral degree. His research focuses on the generalization and robustness of machine learning algorithms in novel scenarios, including generalization to new tasks, shifted data distributions and unseen classes. He also explores interdisciplinary applications of his work in scientific domains such as bioinformatics and neuroscience.