Research Professor of Computer Science and Spatial Sciences and Principal Scientist at USC Information Sciences Institute
Education
- 1992, Doctoral Degree, Computer Science, Carnegie-Mellon University
- 1989, Master's Degree, Computer Science, Carnegie-Mellon University
- 1985, Bachelor's Degree, Computer Science, Universidad Politecnica de Madrid
Biography
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. 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 Institute of Electrical and Electronics Engineers (IEEE), the Cognitive Science Society (CSS), and the Association for the Advancement of Science (AAAS). She is also Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and served as its 24th President. In 2022, she became the first computer scientist to receive the M. Lee Allison Award for Outstanding Contributions to Geoinformatics and Data Science from the Geological Society of America (GSA).
Research Summary
Dr. Gil's research focuses on artificial intelligence and particularly on intelligent systems for knowledge capture and discovery, which she investigates in a variety of projects concerning scientific discovery, collaborative planning and problem solving, and information analysis and assessment of trust. She collaborates with scientists in many domains on semantic workflows and metadata capture, provenance and trust, social knowledge collection, task-centered collaboration, reproducibility, and automated discovery.
Awards
- 2024 Cognitive Science Society (CSS) Fellow
- 2023 Information Sciences Institute (ISI) Fellow
- 2022 Geological Society of America (GSA) M. Lee Allison Award for Geoinformatics and Data Science
- 2021 Institute of Electrical and Electronics Engineers (IEEE) Fellow
- 2020 Association for the Advancement of Science (AAAS) Fellow
- 2016 Association for Computing Machinery (ACM) Fellow
- 2012 Association for the Advancement of Artificial Intelligence (AAAI) Fellow
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