معرفی
Fatemeh Nargesian is the James P. Wilmot Distinguished Assistant Professor of Computer Science at the University of Rochester's Hajim School of Engineering & Applied Sciences. She holds a PhD from the University of Toronto. Her research focuses on data management, particularly in discovering and integrating heterogeneous data across large repositories. She applies probabilistic methods and machine learning to optimize data acquisition costs, enable scalable climate data analysis, and develop algorithms for data lake navigation.
Education:
- PhD in Computer Science, University of Toronto
Research Interests: Data discovery and integration, probabilistic data management, automated feature engineering, and climate data analysis. Her work addresses challenges in data lakes, including efficient search algorithms and semantic table unions. She also explores fairness in entity matching and cost-efficient dataset construction.
Key Contributions: Includes the OpenForge, PLUTUS, and TSUPY frameworks for data integration, as well as award-winning systems like Interactive Navigation of Open Data Linkages (Best Demo Award, 2017). Her recent work emphasizes climate network analysis and ethical data practices.
Lab/Teams: Her research involves developing tools like TSUBASA for real-time climate data analysis and Pylon for semantic table union search in data lakes. She collaborates on projects such as Dataset Evolver, an interactive feature engineering notebook.
