Sheng Xu

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Welcome to my homepage!

I'm currently a Postdoctoral Research Associate in the Program in Applied and Computational Mathematics (PACM) at Princeton University, working with Amit Singer. Previously, I received my Ph.D. in Statistics and Data Science from Yale University, advised by Zhou Fan and Sahand Negahban. Prior to Yale, I obtained my Bachelor's degree in mathematics from the School of Mathematical Sciences and a dual degree in Economics from the China Center for Economic Research at Peking University.

My research interests lie at the intersection of statistical inference, machine learning, mathematics of data science, and optimization. I am particularly interested in mathematical and inferential problems that arise in scientific applications, including structural biology and geophysics.

I am currently on the job market for faculty positions.

Contact

  • Email: sxu21 at princeton dot edu

  • Address: 213 Fine Hall, Washington Road, Princeton, NJ, 08544-1000, USA.

Theoretical / Methodological Interests

  • Statistical Inference

  • Machine Learning

  • Mathematics of Data Science

  • Combinatorial Algorithms

  • Convex and Nonconvex Optimization

Application Areas

  • Cryogenic Electron Microscopy (Cryo-EM) / Structural Biology

  • Geophysics (Paleomagnetism and Cyclostratigraphy)

  • Network Analysis

  • Time Series Analysis

  • Econometrics