Yue Zhao

Yue Zhao builds open-source machine learning tools focused on anomaly detection and data mining. He created PyOD in 2017, which has grown into the most widely used Python library for outlier detection with 60+ algorithms and 46+ million downloads. His research spans tabular, time series, graph, and multimodal anomaly detection, with papers published in JMLR, NeurIPS, and ACM Web Conference. He maintains an active ecosystem of benchmark datasets and companion libraries including ADBench, BOND, and NLP-ADBench.