El Kindi at SIGMOD 2019

El Kindi Rezig

My Erdős number is 3


[CV] [DBLP] [Google Scholar] [Twitter] [LinkedIn]

I am a research scientist (formerly a postdoctoral associate) at the Computer Science and Artificial Intelligence Laboratory (CSAIL) of MIT where I work with the A.M. Turing Award recipient Michael Stonebraker. I earned my Ph.D. in Computer Science from Purdue University under the supervision of Walid Aref and Mourad Ouzzani. My research interests revolve around data management in general and data quality in particular.

Data scientists spend most of their time doing "grunt" work, i.e., discovering, preparing and cleaning the data. The goal of my research is to build systems that target the main pain points in data science development: Data discovery; Data preparation and Data debugging. In collaboration with industrial parties (e.g., Intel, Massachusetts General Hospital), my systems are motivated by real-world use cases.

Recent News


Conference, demonstration and workshop papers Edited books
El Kindi Rezig , Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2021 and DMAH 2021, Revised Selected Papers. ISSN 0302-9743. To appear.
Springer Lecture Notes in Computer Science

Technical Reports In Preparation Undergraduate Research


I have an extensive teaching experience that I acquired while I was a graduate student at Purdue University. I had the privilege to serve as a TA as well as a full instructor of foundational CS classes at Purdue. Additionally, I had the pleasure to co-develop a new Master's class at Purdue and offered it as an instructor.
Teaching Awards Classes

Recent talks