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Welcome to my homepage. My research focuses on inverse problems arising in compressed sensing, image acquisition and processing, machine learning, computer vision, etc. Solving these problems requires appropriate regularization, and results in large-scale optimization and/or PDE problems. Subsequently my research is devoted to developing regularization models for ill-posed inverse problems and devising efficient numerical methods for solving them in practice.
I received a bachelor’s degree in mathematics from Nanjing University in 2001. I earned a master’s degree in operations research from ColumbiaUniversity in 2003; in 2006 I was awarded a second master’s degree and a doctorate, both in operations research. While studying at Columbia, I worked as a researcher in optimization for medical imaging and computer vision for Siemens Corporate Research, located in Princeton, New Jersey.
My research is funded by the NSF, ONR, and Sloan Foundation.
Open Postdoc Position [link]