Amir Gilad

Amir Gilad

Assistant Professor

The Hebrew University

I am a Scharf-Ullman endowed Assistant Professor (Senior Lecturer) at the Hebrew University of Jerusalem’s School of Computer Science and Engineering.

My research focuses on responsible data science including uses of causal inference in data analysis, differential privacy, fairness and representation aspects in data, and the development of tools and algorithms that aim to assist users in understanding and gaining insights into data.

I am a recipient of the 2017 VLDB Best Paper Award, the 2018 SIGMOD Research Highlight Award, the 2019 Google Ph.D. Fellowship in Structured Data and Database Management, and the 2024 Alon Scholarship for the Integration of Outstanding Faculty.

Before joining the Hebrew University, I was a postdoctoral researcher in the Database Group at Duke University, hosted by Prof. Sudeepa Roy, Prof. Ashwin Machanavajjhala, and Prof. Jun Yang. I obtained my Ph.D in Computer Science from Tel Aviv University, where I was advised by Prof. Daniel Deutch.

I am recruiting M.Sc. and Ph.D. students! Please contact me if you are interested in working together.

Interests

  • Data Management
  • Responsible Data Science
  • Causal Inference Applications for Data Analysis
  • Differential Privacy

Education

  • Postdoc in the Database Group

    Duke University

  • PhD in Computer Science

    Tel Aviv University

  • MSc in Computer Science

    Tel Aviv University

  • BSc in Mathematics and Computer Science

    Tel Aviv University

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