Dr. Yue Zhao is an Assistant Professor of Computer Science at the University of Southern California. His research primarily focuses on advancing machine learning (ML) in areas such as anomaly detection, graph neural networks, and healthcare AI, contributing over 40 papers to leading venues. Dr. Zhao is recognized for his work in open-source ML, having created more than 10 projects that have collectively garnered over 17,000 GitHub stars and 20 million downloads. His notable projects, including PyOD, PyGOD, TDC, and ADBench, are used in organizations like NASA and Morgan Stanley for high-stakes applications. He earned his Ph.D. from Carnegie Mellon University in four years, receiving awards such as the AAAI New Faculty Highlights Awards, Norton Fellowship, Meta AI4AI Research Award, and the CMU Presidential Fellowship. In his professional capacity, he serves as an associate editor of IEEE Transactions on Neural Networks and Learning Systems (TNNLS), an action editor of the Journal of Data-centric Machine Learning Research (DMLR), a workflow co-chair for KDD 2023, and a program committee member for numerous ML conferences.