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Raul Castro Fernandez is an Assistant Professor in the Department of Computer Science at the University of Chicago. His research focuses on Data Management, Data Science, and Systems, particularly in understanding and creating systems to share, discover, and process data efficiently. He aims to leverage techniques from data management, statistics, and machine learning to explore data-sharing markets and their economic implications. He is part of the ChiData research group, where he conducts research on large-scale video analysis and systems designed for efficient data processing. Raul has received multiple accolades including the 2025 Sloan Fellowship and the 2024 NSF CAREER Award for his contributions to the field. His work is pivotal in the design and analysis of computing systems across various platforms such as cloud, edge, and quantum computing.
Department of Philosophy