Overview

I am an Associate Professor at the Department of Computing and Software at McMaster University. I am also a Canada CIFAR AI Chair and a Faculty Member at the Vector Institute of Artificial Intelligence. 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 served as an Action Editor for the Journal of Machine Learning Research and I am currently an Action Editor for the Transactions of Machine Learning Research, and routinely serve in senior positions at Machine Learning conferences such as NeurIPS, ICML, COLT, ALT and AISTATS. I was the Publication Chair for ALT 2021, and a Publication co-Chair for ICML 2022 and ICML 2023.

Machine Learning Research

My research is 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 am also interested in fairness in machine learning. The list of my publications is here. Code for published methods is available here.

Open Positions

In general, I supervise Computer Science Ph.D. and M.Sc. students who are interested in machine learning theory. Current graduate students and advanced undergraduate students can apply for a research internship in my lab via the Vector Institute Research Internship Program. I also have spots for Post-doctoral fellows. Post-doctoral candidates are encouraged to apply for a Vector Distinguished Postdoctoral Fellowship under my supervision.

I am looking for students who are interested in machine learning theory and have relevant background. If you are interested, you are welcome to email me. In your email, please let me know why you are interested in being a part of my team, and what position you are looking for. Attach your CV, transcripts and any other supporting material that you think might be relevant. Indicate any previous research experience, even if it is unrelated to machine learning. Note that I will not follow links provided via email. Attach any relevant files directly to the email. It is best to keep your email short and concise. Do not send me an email more than once; I will respond to your original email if I have anything relevant to discuss.