Licenciatura in Computer Science from Polytechnic University of Madrid
M.S. and Ph. D. in Computer Science from Carnegie Mellon University
Dr Yolanda Gil is Principal Scientist and Senior Director for Strategic Initiatives in Artificial Intelligence and Data Science at the Information Sciences Institute of the University of Southern California, Director of AI and Data Science Initiatives in the Viterbi School of Engineering, and Research Professor in Computer Science and in Spatial Sciences. She received her M.S. and Ph. D. degrees in Computer Science from Carnegie Mellon University, with a focus on artificial intelligence and cognitive science. Dr. Gil collaborates with scientists in many domains on semantic workflows and metadata capture, provenance and trust, social knowledge collection, computer-mediated collaboration, and automated discovery. In 2019 she co-chaired the CRA/AAAI 20-Year Artificial Intelligence Research Roadmap for the US with key strategic recommendations based on extensive community engagement. She initiated and led the W3C Provenance Group that resulted in a widely-used standard that provides the foundations for trust on the Web. She is a Fellow of the Association for Computing Machinery (ACM), the Association for the Advancement of Science (AAAS), and the Institute of Electrical and Electronics Engineers (IEEE). She is also Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and served as its 24th President.
Director of AI and Data Science Initiatives in the Viterbi School of Engineering
Research Professor in Computer Science and in Spatial Sciences
Director of the Data Science Program in Computer Science, Co-Director of joint MSc programs in Communication Data Science (Viterbi-Annenberg), Spatial Data Science (Viterbi-Dornsife), Environmental Data Science (Viterbi-Dornsife), Public Policy Data Science (Viterbi-Price), and Healthcare Data Science (Viterbi-Keck), and a new dual degree USC-Tsinghua University on Communication Data Science
Director of the USC Center for Knowledge-Guided Interdisciplinary Data Science (CKIDS) that runs the DataFest events each semester