My research targets topics from social media, information retrieval, recommender systems, data mining, emerging networked information systems, and occasional forays into distributed systems and services computing. I usually wear one of two hats in my work:
My research approach is primarily data-driven and experimental in nature; we like to develop algorithms, models, and systems, and then evaluate their effectiveness over real data and in live settings.
About me: I received my Ph.D. in Computer Science from Georgia Tech in 2007, co-advised by Ling Liu (CS) and Bill Rouse (ISYE). Before that, I earned two M.S. degrees from Stanford University: one in Computer Science in 2001 and one in Engineering-Economic Systems & Operations Research in 2000. My undergraduate degree is a B.A. in Economics (magna cum laude) from Duke University in 1996. I joined the faculty at Texas A&M in 2007. I spent most of my sabbatical in 2015 at Google as a Visiting Scientist in Ed Chi's group. I've been honored to receive an NSF CAREER award, DARPA Young Faculty award, a AFOSR Young Investigator award, as well as several teaching awards.
Acknowledgments: Our lab has been generously supported by NSF, DARPA, AFOSR, Google, Amazon, the Texas A&M College of Engineering, and Texas A&M. Thank you!