About Me

I am an associate professor in the Department of Computer Science at Ben Gurion University of the Negev. Before that, I was a post-doctoral fellow at Microsoft Research New England. I received my Ph.D. from the School of Computer Science and Engineering at the Hebrew University of Jerusalem.

I am a recipient of the Alon Scholarship of the Council for Higher Education of Israel for excellent new faculty. I am also a recipient of the Google Anita Borg Memorial Scholarship, and an alumna of the Adams Fellowship Program of the Israel Academy of Sciences and Humanities.

I serve as an action editor for the Journal of Machine Learning Research, and routinely serve as an area chair at Machine Learning conferences such as NeurIPS, ICML, COLT, ALT and AISTATS. I was also the publication chair for ALT 2021.

Machine Learning Research

My main research interests are in machine learning theory and algorithms. I focus mainly on active and interactive learning: a setting where the data source and the algorithm interact in an attempt to improve learning accuracy while decreasing information costs. Much of my work revolves around developing general-purpose algorithms that can be useful in many different applications. I also collaborate with industrial partners to solve interesting problems in these realms. The list of my publications is here. Code for published methods is available here.

Data Science Track

I am head of the Data Science Track in Computer Science at Ben-Gurion University. This is a specialty track within the Computer Science undergraduate degree. Details (in Hebrew) are available in the following link.