My area of research is unsupervised learning for natural language processing (NLP). I am interested in statistical semantics, sentiment analysis, social networks, machine learning (primarily unsupervised), Bayesian inference and other related subjects.

I am currently a software engineer at Google, NY. Before that, I was a post-doctoral research scientist in the Department of Biomedical Informatics, at the Columbia University Medical Center, working with Dr. Noemie Elhadad and then a post-doctoral research fellow, working with Prof. Paul Kantor at the School of Communication and Information at Rutgers University.

I completed my PhD at the School of Informatics at the University of Edinburgh in 2009. My thesis was entitled "Graphical Models for Word Sense Disambiguation", and focused on discovering the correct sense of ambiguous words in context in an unsupervised manner. Disambiguation is one of the fundamental tasks in natural language processing and cognition, and a successful method for resolving word senses  can help in higher-level tasks, such as automatic translation and information retrieval. My supervisor was Dr. Mirella Lapata.

I completed my MSc in Computer Science at the Hebrew University, Jerusalem, under the supervision of Prof. Naftali Tishby. My thesis involved using clustering and a simplified clause model to assist in the discovery of the relationships between actions described in a text.