Dr. Yue Zhao is an Assistant Professor of Computer Science at the University of Southern California and a faculty member of the USC Machine Learning Center. He leads the FORTIS Lab (Foundations Of Robust Trustworthy Intelligent Systems), focusing on trustworthy, robust, and efficient AI. His research spans anomaly and out-of-distribution detection, graph learning, large language and generative models for societal applications (e.g., political forecasting, AI for science), and scalable open-source ML systems. Dr. Zhao has authored 60+ papers in top-tier venues and is internationally recognized for his open-source contributions—including PyOD, PyGOD, TDC, and TrustLLM—which collectively exceed 30 million downloads and 20,000 GitHub stars, ranking him among the top 800 developers worldwide. His tools are used by NASA, Tesla, Morgan Stanley, and the U.S. Senate. He is a recipient of multiple honors, including the Capital One Research Award, Amazon Research Awards, AAAI New Faculty Highlights, Google Cloud Research Innovators, Norton Fellowship, Meta AI4AI Research Award, and the CMU Presidential Fellowship. He also serves as an Associate or Action Editor for ACM Transactions on AI for Science, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), and the Journal of Data-centric Machine Learning Research (DMLR), and acts as an Area Chair for ICLR, ICML, and NeurIPS.