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I am an applied researcher at Microsoft, and work for Bing. I am presently based in Vancouver, Canada. Previously I was at Microsoft Research Cambridge, in the Machine Learning and Perception group, and the Online Services and Advertising group.
My current research focuses on developing machine learning techniques for learning from, evaluating with, and optimizing to implicitly collected feedback from web users. In particular I am interested in applications to web search and online advertising, with a current focus on personalization, diversity in web search and web scale online learning algorithms.
Before joining Microsoft in 2008, I completed my PhD in Computer Science at Cornell University.
Detecting Duplicate Web Documents using Clickthrough Data
as author at Fourth ACM International Conference on Web Search and Data Mining - WSDM 2011,