Yuxin Chen

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I am an assistant professor in the Department of Electrical Engineering and an associated faculty member in the Department of Computer Science at Princeton University.

Prior to joining Princeton in Spring 2017, I was a postdoctoral scholar in the Department of Statistics at Stanford University supervised by Prof. Emmanuel Cand├Ęs. I completed my Ph.D. in Electrical Engineering at Stanford University in Fall 2014, under the supervision of Prof. Andrea Goldsmith.

Research areas: mathematical data science, convex and nonconvex optimization, high-dimensional data analysis, statistical learning and estimation, information theory, and their applications to medical imaging and computational biology.

Contact:
B316, Engineering Quad
Princeton University, Princeton, NJ 08544

Email: yuxin dot chen at princeton dot edu

Recent news

  • Prof. Mung Chiang and I have a postdoc position for nonconvex optimization theory and distributed machine learning. Send me your CV if you are interested and have strong mathematical background.

  • I received the SEAS innovation award for ‘‘Deep Learning for Water-Fat Separation in Magnetic Resonance Imaging’’.

Teaching

Recent papers