I completed my Ph.D. in Electrical Engineering from Princeton University in 2012, where I was fortunate to work with Prof. Robert Calderbank. I received a M.A. in Electrical Engineering from Princeton University in 2009, and a B.Eng. in Electronic Engineering from Tsinghua University in 2007. In the past, I held internships at Mitsubishi Electric Research Lab and Qualcomm Inc., as well as conducted visiting research at Air Force Research Lab, Stanford University, Duke University and Colorado State University.
My research is motivated by the challenge of efficiently extracting information embedded in a large amount of data. I am interested in the mathematics of data representation that take advantage of structures and geometry to minimize complexity and improve performance. Specific topics include mathematical and statistical signal processing, compressed sensing, machine learning, and information theory. I have received a couple of awards for my work, including NSF CAREER Award, AFOSR Young Investigator Award, ONR Young Investigator Award, ORAU Ralph E. Powe Junior Faculty Enhancement Award, Google Faculty Research Award, IEEE Signal Processing Society Young Author Best Paper Award, an IEEE ICASSP Best Student Paper Award, among others.
I have an Erdos number of 3.
Upcoming Invited Talks in 2017
I am looking for highly-motivated Ph.D. students, postdoctoral researchers, and visiting scholars to join our research group. Prior research experiences on compressed sensing, optimization, statistical signal processing, and related fields are desirable. Please send me an email along with your CV if you are interested. However, I apologize in advance that I am not able to reply to all inquiries.