معرفی
El Kindi Rezig is an Assistant Professor at the Kahlert School of Computing, University of Utah, specializing in data management and data quality. He holds a Ph.D. in Computer Science from Purdue University, advised by Walid Aref and Mourad Ouzzani. Previously, he was a research scientist/postdoc at MIT CSAIL under Turing Award recipient Michael Stonebraker. His research focuses on automating data science workflows through systems addressing data discovery, preparation, and debugging. Collaborations with Intel and healthcare institutions drive real-world applications.
Research interests include scalable data cleaning (e.g., Horizon system), causal explanations for AI (CausalExplain), and visual data wrangling (Buckaroo). Major grants include an NSF-Simons Institute award (PI: Stella Offner) and University of Utah funding. He has advised 8 students (Ph.D., MS, and undergraduate researchers) since 2021.
Key awards include Purdue's Raymond Boyce Teaching Excellence Award (2017) and teaching fellowship (2015-2016). Courses taught include Data Management for ML (University of Utah) and Systems Programming at Purdue. He is active in conference service, serving on PC for VLDB 2025, SIGMOD 2025, and KDD 2024. His Erdős number is 3 via a path linking through Michael Stonebraker and Patrick E. O'Neil.
Notable systems include Dagger (data debugging), DICE (example-based data discovery), and SeerCuts (explainable discretization). Recent work emphasizes healthcare analytics and heterogeneous data management, as co-editor of a Springer LNCS volume on the topic (2021).
