News

For a huge and exciting project funded by an ERC grant, I am looking for highly-motivated and mathematically-strong graduate students (M.Sc and Ph.D) and postdocs to work  on a next generation of efficient continuous optimization methods for high-dimensional optimization with applications to ML and DS. Contact me if interested.

Research Interests

I am broadly interested in the theory and algorithmic foundations of efficient continuous optimization (mostly convex and high-dimensional) and their applications to problems that arise in machine learning and data science. 

Short Bio

I received my B.Sc. in Computer Engineering (2010), my M.Sc. in Computer Science (2012), and my Ph.D. (2015), all at the Technion. Following my Ph.D. I spent a year as a Research Assistant Professor at Toyota Technological Institute at Chicago. In 2017 I rejoined the Technion as an Assistant Professor at the Faculty of Data and Decision Sciences.

I received funding from the Israel Science Foundation (2018-2022 and 2022-2026, each ~$250,000/4 years) and a Consolidator grant from the European Research Council (2025-2030, ~1.785M Euro / 5 years).

Together with my Ph.D. student Ben Kretzu, I have won the best student paper award in the leading theoretical machine learning conference Computational Learning Theory, 2022.