Shuyang Ling is an Assistant Professor Faculty Fellow of Data Science at NYU Shanghai. Prior to joining NYU Shanghai, he was a Courant Instructor/Assistant Professor at the Courant Institute of Mathematics and Center for Data Science, New York University, from 2017-2019.
Ling's research focuses broadly on the mathematics of data science. He is interested in tackling inverse problems from engineering applications and extracting meaningful information from large-scale and heterogeneous datasets. His research involves a broad spectrum of subjects including optimization, probability, statistics, computational harmonic analysis, and numerical linear algebra.
Research Interests: Mathematics of Signal Processing, Machine Learning, Optimization, Compressive Sensing, Computational Harmonic Analysis.