* Harr Chen Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology The Stata Center, 32-G494 32 Vassar Street Cambridge, MA 02139 harr at mit dot edu / harrchenone (AIM) / harrchen at msn dot com (MSN)

I am:

• a fourth year graduate student
• a member of the Computer Science and Artificial Intelligence Laboratory at MIT
• advised by Professor David Karger
and Professor Regina Barzilay
• interested primarily in information retrieval and natural language processing
• affiliated with the Haystack project
• a student of the Sloan School of Management Financial Technology Option
• funded by the Office of Naval Research
• aka harrbar, harrchenemy
• a sage who sits above Asgard, the other two being Jafnharr and Thridi
• the pirate's favorite computer scientist (arrrgh harrrrr!)
• way too fond of HTML lists
• defined on Urban Dictionary (though I'm not actually ABC)
• redirected on Wikipedia to the Norse God Odin

• a Credit Suisse proprietary trading (New York) and equity derivatives trading (Hong Kong) summer associate
• a Google research intern
• a Microsoft full time software engineer
• a University of Washington undergraduate (go Huskies!)
• a graduate of the UW Early Entrance Program (the picture at the upper left of that page is me - in years long past)
• a student at Margaret McKenny elementary school, Olympia, WA

• an Erdos Number of four, putting me in distinguished company
• a CV - it's so old that it's not even worth linking to anymore

• stuff

• S.R.K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay. Learning Document-Level Semantic Properties from Free-text Annotations. In Proceedings of ACL/HLT 2008.
• Harr Chen, David R. Karger. Less is More: Probabilistic Models for Retrieving Fewer Relevant Documents. In Proceedings of ACM SIGIR 2006. Slides: [ppt]
• Raman Chandrasekar, Harr Chen, Simon Corston-Oliver, Eric Brill. Subwebs for Specialized Search. In Proceedings of ACM SIGIR 2004.

• Harr Chen, Adwait Ratnaparkhi, Sonja Knoll, Hsiao-Wuen Hon. System and method for using anchor text as training data for classifier-based search systems. Filed December 2004.
• Harr Chen, Raman Chandrasekar, Simon Corston-Oliver, Eric Brill. Building and using subwebs for focused search. Filed February 2004.
• Simon Corston-Oliver, Raman Chandrasekar, Harr Chen. Machine-learned approach to determining document relevance for search over large electronic collections of documents. US Patent No. 7287012.

• Brazil
• Canada
• P.R. China (country of birth)
• France
• Hong Kong
• Italy
• Germany
• Macau
• The Netherlands
• The Philippines
• United Kingdom
• United States (country of residence)

• Actually, I don't think, I really should be just doing research. :)