I am a 4th year PhD candidate in Computer Science at the University of Maryland at College Park advised by Jordan Boyd-Graber. My research interests center around developing machine learning (specifically deep learning) models for natural language processing. I am interested in question answering, zero and few shot learning, domain adaptation, and interpretability. I led the development of an AI (Qanta) system that defeated some of the best Quiz Bowl players in the world (see video below).
I earned my Bachelor's Degree in Computer Science from the University of California at Berkeley in December 2014. I have worked as either a research scientist or data scientist at Microsoft Research in the Information and Data Science Group, Riot Games, Zillow Group/Trulia, Oracle, UC Berkeley's AMPLab, UC Berkeley's Astronomy Department, and Boise State University's Cryosphere Group. I was also a founding member of the Colorado Data Science Team. In my free time I am a certified avalanche instructor for the National Ski Patrol, professional member of the American Avalanche Association, and an avid skier. As a bilingual avalanche safety instructor I taught hundreds of students throughout Idaho, Oregon, California, Colorado, Argentina, and Chile how to safely enjoy backcountry skiing and riding.
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QANTA (our system) vs Top Quiz Bowl Team
Our system defeat a strong team of human players 260-215 during our exhibition match at the 2017 Quiz Bowl high school national championships. Note that we did not play against high school students, the opposing team were comprised of tournament organizers, many of which had themselves been previous champions in their high school or college days.