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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 PhD candidate studying Computer Science at Cornell University. My research interests lie primarily in machine learning and information retrieval. I also do some work on online algorithms. My advisor is Thorsten Joachims. You can read about my research work here.
I previously received my Bachelor of Science in Computer Science at University of Illinois at Urbana-Champaign. In the summer of 2007, I was a research intern with the Text Mining, Search and Navigation group at Microsoft Research. My mentor was Chris Burges.
My most recent released project is SVMdiv, which is a Support Vector Machine method for learning to predict diverse subsets (of documents).
My work is supported in part by a Microsoft Fellowship and a Yahoo! Key Technical Challenge grant.
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