Bin Dong

Bin Dong is a faculty member of the Beijing International Center for Mathematical Research, Peking University. He is also the assocaite director of the Center for Machine Learning Research at Peking University, and an affiliated faculty member of the National Biomedical Imaging Center and the National Engineering Laboratory for Big Data Analysis and Applications. He received his B.S. from Peking University in 2003, M.Sc from the National University of Singapore in 2005, and Ph.D. from the University of California Los Angeles in 2009. Bin Dong's research interest is in the mathematical analysis, modeling, and computations in computational imaging, scientific computing, and machine learning. He currently serves the editorial board of Inverse Problems and Imaging, CSIAM Transactions on Applied Mathematics, Journal of Computational Mathematics and Journal of Machine Learning. He received the Qiu Shi Outstanding Young Scholar Award in 2014 and was invited to deliver a 45-minute sectional lecture at the International Congress of Mathematicians (ICM) 2022.

Homepage:  http://bicmr.pku.edu.cn/~dongbin

董彬，北京大学，北京国际数学研究中心教授、国际机器学习研究中心副主任、大数据分析与应用国家工程实验室研究员、国家生物医学成像科学中心研究员。2003年本科毕业于北京大学数学科学学院、2005年在新加坡国立大学数学系获得硕士学位、2009年在美国加州大学洛杉矶分校数学系获得博士学位。博士毕业后曾在美国加州大学圣迭戈分校数学系任访问助理教授、2011－2014年在美国亚利桑那大学数学系任助理教授，2014年底入职北京大学。主要研究领域为科学计算、机器学习及其在计算成像和数据分析中的应用。现任期刊《Inverse Problems and Imaging》编委、《CSIAM Transactions on Applied Mathematics》、《Journal of Computational Mathematics》、《Journal of Machine Learning》副主编。2014年获得求是杰出青年学者奖，2022年受邀在世界数学家大会（ICM）做45分钟报告。