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Yolanda Gil is a Research Professor at the University of Southern California's Information Sciences Institute, where she leads AI Data Science Initiatives and directs the Center for Artificial Intelligence in Health. She received her Doctoral and Master's Degrees in Computer Science from Carnegie Mellon University and a Bachelor's Degree in Computer Science from Universidad Politecnica de Madrid. Her research primarily focuses on artificial intelligence, with an emphasis on intelligent systems for knowledge capture and discovery. Gil collaborates with scientists across various domains to enhance semantic workflows, metadata capture, provenance trust, and task-centered collaboration. Notably, she co-chaired the CRA/AAAI 20-Year Artificial Intelligence Research Roadmap and has initiated standards on web trust through the W3C Provenance Group. She has been recognized as a fellow of several prestigious organizations and has received the M. Lee Allison Award for her contributions to Geoinformatics and Data Science. In 2024, she was appointed by President Biden to the National Science Board for a six-year term.
GRE is NOT required for Master's applicants for 2025-2026.