Yijun Dong (董一珺)

 

Courant Instructor/Assistant Professor (postdoc)
Courant Institute of Mathematical Sciences
New York University
Email: yd1319(at)nyu(dot)edu
Office: WWH 526, 251 Mercer St, New York, NY 10012

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About Me

I am a Courant Instructor/Assistant Professor (postdoc) at the Courant Institute of New York University. I completed my Ph.D. at the Oden Institute of UT Austin, advised by Per-Gunnar Martinsson and Rachel Ward. I am interested in randomized algorithms and the mathematical foundation of machine learning. My research focuses on computation- and data-efficient algorithms for high-dimensional problems in modern scientific computing and machine learning, e.g., randomized dimension reduction and post-training.

Selected Publications

* denotes equal contribution or alphabetical order. For a complete list of my publications, please visit Google Scholar.

Education

Ph.D. in Computational Science, Engineering, and Mathematics, 2018 - 2023
Oden Institute for Computational Engineering and Sciences, UT Austin, Austin, Texas, US
Thesis: Randomized Dimension Reduction with Statistical Guarantees

B.S. in Applied Mathematics & Engineering Science, 2014 - 2018
Emory University, Atlanta, Georgia, US
Thesis: Crystals and Liquids in Gravitationally Confined Quasi-2-Dimensional Colloidal Systems