Babak Salimi

Postdoctoral Research Associate

University of Washington

Biography

I am a research associate at University of Washington and part of UW Database Group, where I work with Prof. Dan Suciu. I completed my Ph.D. in 2015 at Carleton University, advised by Prof. Leopoldo Bertossi. I am a recipient of SIGMOD 2019 Best Paper Award and VLDB 2018 Best Demonstration Paper Award.

My research interests cover Data Management, Causal Inference, Decision Support Systems, Responsible Data Science and Data Ethics.

I am currently on the job market. Please see my research and teaching statements and curriculum vitae here.

Interests

Responsible Data Science
Causal Inference
Data Management
Decision Support Systems

Education

PhD in Computer Science, 2015

Carleton University
Master in Computational Logic, 2009

Sharif University of Technology
Bachelor of Software Engineering, 2006

Azad University of Mashhad

Projects

Capuchin

Capuchin develops a suit of techniques to enforce algorithmic fairness using causal inference and database dependencies.

HypDB

HypDB is a system to detect, explain, and to resolve bias in decision-support queries.

ZaliQL

Causal Inference at Scale

Recent Publications

Babak Salimi, Bill Howe, Dan Suciu. Data Management for Causal Algorithmic Fairness. IEEE Data Engineering Bulletin, 2019.

Preprint Project

Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu. Interventional Fairness: Causal Database Repair for Algorithmic Fairness. ACM SIGMOD, 2019.

Preprint PDF Project

Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich , Bill Howe. MobilityMirror: Bias-Adjusted Synthetic Transportation Datasets.. 2018.

Project

Babak Salimi, Corey Cole, Peter Li, Johannes Gehrke, Dan Suciu. HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries.. VLDB, 2018.

PDF Project

Babak Salimi, Johannes Gehrke, Dan Suciu. Bias in OLAP Queries: Detection, Explanation, and Removal. ACM SIGMOD, 2018.

Preprint PDF Project

Babak Salimi, Corey Cole, Dan R. K. Ports, Dan Suciu. ZaliQL: causal inference from observational data at scale. VLDB, 2017.

PDF Code Project

Babak Salimi, Leopoldo Bertossi. From causes for database queries to repairs and model-based diagnosis and back. ICDT 2015, 2015.

PDF

Recent & Upcoming Talks

Invited talk (Amazon): Data Management for Algorithmic fairness

Nov 18, 2019 11:00 AM

Invited talk (University of Arizona): Data Management for Algorithmic fairness

Nov 10, 2019 11:00 AM

Invited talk (UCSC): Soundness and Fairness in Decision Making Systems

Oct 22, 2019 11:00 AM

Invited talk (Tableau): Detecting Bias in Decision Support Queries

Jul 26, 2018 12:39 PM

Project

Causal Inference in Database Systems

Jul 13, 2018 10:12 AM

Slides Video Project

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Contact

bsalimi@cs.washington.edu
bk.salimi
Paul G. Allen Center for Computer Science & Engineering, 185 E Stevens Way NE, Seattle, WA 98195, USA