Amir Gilad (original) (raw)

About

I am a Scharf-Ullman endowed Assistant Professor (Senior Lecturer) at theHebrew 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 the2017 VLDB Best Paper Award, the2018 SIGMOD Research Highlight Award, the2019 Google Ph.D. Fellowship in Structured Data and Database Management, and the2024 Alon Scholarship for the Integration of Outstanding Faculty.

Before joining the Hebrew University, I was a postdoctoral researcher in theDatabase Group at Duke University, hosted byProf. Sudeepa Roy,Prof. Ashwin Machanavajjhala, andProf. Jun Yang. I obtained my Ph.D in Computer Science fromTel Aviv University, where I was advised byProf. Daniel Deutch.

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

Projects

Private and Fair Data Generation

Generate data in a Differentially Private manner that is faithful to the private data and also satisfies fairness and integrity constraints.

Team

Principal Investigators

Grad Students

Recent Publications

Teaching

Topics in Responsible Data Science

The Hebrew UniversityOct 2024 – Feb 2025

Seminar on Advanced Topics in Databases

The Hebrew UniversityOct 2024 – Feb 2025

Seminar on Causal Inference in Data Analysis

The Hebrew UniversityMay 2024 – Jul 2024