Amir Gilad

Amir Gilad

Postdoctoral Researcher

Duke University


I am a postdoctoral researcher in the Database Group at Duke University. I am hosted by Prof. Sudeepa Roy, Prof. Ashwin Machanavajjhala, and Prof. Jun Yang.

My research focuses on data analysis, data management, and provenance. I am currently working on the development of tools and algorithms that aim to assist users in understanding and gaining insights into data through explanations and causal analysis. I am also studying the privacy implications of providing such explanations.

I obtained my Ph.D in Computer Science from Tel Aviv University, where I was advised by Prof. Daniel Deutch. I have also completed both my B.Sc - a double major in Mathematics and Computer Science and my M.Sc in Computer Science at Tel Aviv University.

I am a recipient of the 2017 VLBD Best Paper Award, the 2018 SIGMOD Research Highlight Award, and the 2019 Google Ph.D. Fellowship in Structured Data and Database Management.

Recent Publications

(2022). Understanding Queries by Conditional Instances. In SIGMOD.

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(2021). Explanations for Data Repair Through Shapley Values. In CIKM.

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(2021). On Optimizing the Trade-off between Privacy and Utility in Data Provenance. In SIGMOD.

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(2021). PITA: Privacy Through Provenance Abstraction. In ICDE.

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(2020). ExplainED: Explanations for EDA Notebooks. In PVLDB 13(12).

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Extended Introduction to Computer Science

Workshop: Google Technologies