Dr. Xinyi Zhou is an Assistant Professor in the Department of Computer Science at Boise State University. Previously, she was a Postdoctoral Scholar in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She earned her Ph.D. in Computer and Information Science and Engineering from Syracuse University. Her research spans machine learning and data mining, with a focus on trustworthy, multimodal, and human-centered AI and applications in domains such as health and human learning/work. Her work has appeared in journals including ACM Computing Surveys and conferences such as WWW and CHI, and she has organized tutorials at venues such as KDD. She serves as Co-Chair of the WSDM 2026 Doctoral Consortium, serves on program committees for leading AI conferences, and reviews for journals including TPAMI, TKDE, and TOIS. She was recognized as a Rising Star in EECS by MIT (2024) and as a Rising Star in Data Science by UC San Diego, UChicago, and Stanford (2024).