am an assistant professor at the Computer Science Faculty of the Technion,
I received my Ph.D. at Princeton University under the supervision of Bernard Chazelle. After that I spent a year as a postdoc at the Institute for Advanced Study in Princeton, NJ. Following that, I spent two years as a researcher at Google, NY.
I have done research on the following topics (see also publication list):
Learning theory, with emphasis on learning from pairwise preference data and ranking, clustering and metric learning from similarity information, structured matrix completion, active learning, fast dimensionality reduction techniques and their use in analysis of large, high dimensional data.
I am also interested in applications of learning and data mining to real world applications and have had collaborations with companies like Google and Yahoo!.
I am looking for students! If you are interested in any of the above topics, or more generally in learning for big data then please don't hesitate to contact me. Preference will be given to those who have strong mathematical background (in particular in the fields of statistics and probability) and/or those who are truly interested in big ideas and in projects that can affect our lives (for the better!) in this world of data that is changing ever more rapidly in front of our eyes.