Summary
Yolanda Gil is a distinguished AI researcher and leader who blends deep academic roots—PhD in Computer Science from Carnegie Mellon—with strategic roles shaping national and institutional AI policy and programs. As Senior Director for AI and Data Science Strategy at USC’s Information Sciences Institute and a member of the National Science Board, she drives interdisciplinary initiatives spanning climate, neuroscience, health, and geoinformatics, and has created 10 joint degrees and overseen data science programs serving over 1,000 students. A prolific author with 250+ peer-reviewed publications, she spearheaded the W3C Provenance Group and co-chaired the 20-year U.S. AI research roadmap, work that underpins trust and reproducibility across scientific workflows. Her uncommon blend of standards leadership, academic mentorship, and cross-domain collaboration has earned fellowships in ACM, IEEE, AAAS, AAAI (whose presidency she held), and the rare M. Lee Allison Award in geoinformatics for a computer scientist.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Carnegie Mellon University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidad Politécnica de Madrid