New! WSSP2009: WWW Workshop on Web Search Result Summarization and Presentation

I am a Principal Applied Scientist at Microsoft's Bing R&D Division where I manage a team that focusses on machine-learned ranking and placement of vertical search results in federated search scenarios. I am also looking at issues involved with whole page relevance.

Prior to joining Microsoft in July 2009, I was a Principal Scientist at the Yahoo! Labs from June 2007 to July 2009. At Yahoo! I was responsible for proposing and prototyping the machine-learned algorithm for web summarization (aka snippets/captions), and I was the Tech lead of the team that productized the ML summarization framework. Currently the summarizer serves approx 3 billion queries per month in the US market and has been deployed in various international markets.

From February 2001 to May 2006 I was a Research Staff Member at the IBM Almaden Research Center, San Jose, CA, where I was an early member of the Webfountain project and worked on web search relevance and information extraction. Prior to joining IBM I was a Co-Director of the Language and Media Processing Laboratory, at the University of Maryland, College Park. I received my PhD in Electrical Engineering from the University of Washington, Seattle, WA in 1996.

I have over 80 publications in the areas of web search and mining, information retrieval and extraction, optical character recogntion, computer vision, and systems. A paper I co-authored received the best paper award at the WWW 2003 conference. At University of Maryland (with colleagues) I raised over 3 million dollars from government and industry. I have co-chaired and have been a member of program committee of numerous conferences. I am a senior member of the IEEE.

Recent Work:

Papers Patents Workshop