Research

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I study the theoretical foundations of data science. My current research focuses on sample complexity and interpretable machine learning.

I also enjoy working on problems in classical information theory, particularly those related to guessing, data compression, and information measures.

Short Bio

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2022–present	Associate Professor of Information Theory Information Processing and Communications Laboratory , Télécom Paris (IP Paris)
2017–2021	Ph.D. in Information Theory Signal and Information Processing Laboratory , ETH Zurich Thesis: Guess What? Adviser: Prof. Amos Lapidoth Awarded the ETH Medal
2017	M.Sc. in Electrical Engineering ETH Zurich With distinction

My CV can be requested by email.