Sanjay Krishnan

Sanjay Krishnan is an Assistant Professor of Computer Science at the University of Chicago. His research focuses on managing uncertain data in databases and information systems, including accuracy guarantees in incomplete databases, query evaluation under corruption, and data leakage detection. He leads the ChiDATA research group within the University of Chicago's Department of Computer Science, collaborating with researchers like Michael Franklin and Raul Castro Fernandez on large-scale data analysis and systems.

His academic work spans foundational areas such as AI/ML integration with data systems, scalable data processing, and resource-efficient database design. He is affiliated with the CERES Center for Unstoppable Computing and the Systems Group, exploring resilient computing systems and software engineering challenges. His lab's research has been featured in UChicago CS news for innovations like geometric database query processing and interdisciplinary collaborations with the Museum of Science & Industry.

Key contributions include frameworks like EdgeServe for decentralized model serving, CrocodileDB for resource-efficient query execution, and ActiveClean for interactive data cleaning in ML pipelines. His work bridges theoretical computer science with practical system implementations, emphasizing real-world data challenges in IoT, healthcare, and environmental monitoring.