Bin Dong

Peking University
I received my B.S. from Peking University in 2003, M.Sc from National University of Singapore in 2005 and Ph.D from University of California Los Angeles (UCLA) in 2009. Then I spent 2 years in University of California San Diego (UCSD) as a visiting assistant professor. I was a tenure-track assistant professor at University of Arizona since 2011 and joined Peking University as an associate professor in 2014. I received the Qiu Shi Outstanding Young Scholar award in 2014 and the award of the Project of Thousand Youth Talents of China in 2015. My research interest is in mathematical modeling and computations in imaging and data science, which includes (but not limited to) biological and medical imaging and image analysis , image guided diagnosis and treatment of disease, (semi-)supervised learning. A special feature of my research is blending different branches in mathematics which includes: bridging wavelet frame theory, variational techniques and nonlinear PDEs; combining sparse approximation with statistical and machine learning. We are working on projects aiming at addressing new and fascinating connections among these subjects, which not only leads to new understandings of the subjects themselves, but also gives rise to new and effective mathematical and computational tools for imaging/data science.
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