About Me

I am a PhD candidate in Computer Science at the Hebrew University of Jerusalem, advised by Katrina Ligett. I began my doctoral studies under the guidance of Naftali Tishby.

Before returning to academia, I spent several years in both the public and private sectors, working on machine learning research and data science. Prior to that, I completed my MSc and BSc in Mathematics, also at the Hebrew University.

Research Interests

My research explores the intersection between information theory and machine learning. I study the geometry of information curves and its relationship with various properties of learning algorithms. Recently, I’ve been particularly focused on connections to algorithmic fairness.

Selected Publications

• Benger, E., & Ligett, K. (2025). Mapping the tradeoffs and limitations of algorithmic fairness. 6th Symposium on Foundations of Responsible Computing (FORC).
• Benger, E., Asoodeh, S., & Chen, J. (2023). The cardinality bound on the information bottleneck representations is tight. 2023 IEEE International Symposium on Information Theory (ISIT).
• Agmon, S.*, Benger, E.*, Ordentlich, O., & Tishby, N. (2021). Critical slowing down near topological transitions in rate-distortion problems. 2021 IEEE International Symposium on Information Theory (ISIT). * Equal contribution.
• Benger, E., & Sella, G. (2013). Modeling the effect of changing selective pressures on polymorphism and divergence. Theoretical Population Biology.