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This site contains information regarding my various casual and professional activities. It also houses any useful content resulting from my spontaneous (and usually serendipitous) bursts of productivity. Given that I'm an aspiring young computer scientist, you'll find that much of this site takes on that distinctive computer science flavor. As I am a huge fan of digitizing data, I hope to keep this site well maintained and updated.
I am currently a Ph.D. candidate studying Computer Science at Cornell University. My current research centers around machine learning and information retrieval. I also do some work on online algorithms and interactive learning. My advisor is Thorsten Joachims. You can read about my research work here. More broadly, I am interested in working towards general artificial intelligence while developing useful intermediate tools along the way.
I previously received my Bachelor of Science in Computer Science at the University of Illinois at Urbana-Champaign. In the summer of 2007, I was a research intern at Microsoft Research working with Chris Burges in the Text Mining, Search and Navigation group. This past summer, I was an intern at Google working with Rajan Patel.
My most recent released project is SVMdiv, which is a Support Vector Machine method for learning models for diversified retrieval.
My work is supported in part by a Microsoft Research Graduate Fellowship and a Yahoo! Key Technical Challenges grant. I am also funded as part of the NSF projects Learning Structure to Structure Mappings, Learning from Implicit Feedback Through Online Experimentation, and Information Genealogy.
Research Biography
NEW - Self-Improving Systems that Learn Through Human Interaction - a popular-science blog article I wrote.
I am graduating in summer 2010
Curriculum Vitae
Research Statement
Teaching Statement
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