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This site contains information regarding my various casual and professional activities. It also houses any useful content resulting from my (hopefully increasingly frequent) bursts of productivity.
I am currently a postdoctoral researcher in the iLab and the Machine Learning Department at Carnegie Mellon University, working with Carlos Guestrin and others there. My research interests lie in machine learning, information retrieval, and online algorithms. 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 a Ph.D. in Computer Science from Cornell University under the advising of Thorsten Joachims, and a B.S. in Computer Science from 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 Machine Learning and Intelligence group (previously known as the Text Mining, Search, and Navigation group). In the summer of 2009, I was an intern at Google working with Rajan Patel in the Search Quality Evaluation team.
My most recent released project is SVMsle, which is a Support Vector Machine method for learning to predict document-level sentiment polarity using latent explanations.
*NEW* - Tutorial materials for 'Practical Online Retrieval Evaluation" presented at SIGIR 2011 now available. [ppt][demo scripts]
Research Biography
Random Ponderings (blog)
Self-Improving Systems that Learn Through Human Interaction - a popular-science blog article I wrote.
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