Wenjing Liao 

Assistant Professor
School of Mathematics
Georgia Institute of Technology
Office: Skiles 258
Email: wliao60@gatech.edu

My research interests are imaging, signal processing,  high dimensional data analysis and machine learning. I finished my Ph.D. in Mathematics under the supervision of Prof. Albert Fannjiang at University of California, Davis. I was a visiting assistant professor at Duke University and an assistant research scientist at Johns Hopkins University before joining Georgia Tech. I worked with Prof. Mauro Maggioni at Duke and JHU. My research is supported by NSF DMS 1818751 and DMS 2012652.

Teaching at GaTech: 

Publications:  Google Scholar

Machine learning on data with low-dimensional structures
PDE identification from data
Sensor calibration in signal processing

Grid-independent imaging, spectral estimation and super-resolution

Fourier phase retrieval
SIAM Conference on Computational Science and Engineering (CSE19), Spokane, Washington, February 24 - March 1, 2019

AWM Research Symposium, Rice University, April 6-7, 2019
Applied Math Seminar, University of Notre Dame, April 25, 2019
International Conference on Sampling Theory and Applications, July 8-12, 2019
Chinese Academy of Science, August 12, 2019
Statistics Seminar, Georgia State University, September 27, 2019
SIAM-SEAS Conference, University of Tennessee, Knoxville, September 20-22, 2019
Statistics seminar, Georgia State University, September 27, 2019
University of Maryland, College Park, Center for Scientific Computation and Mathematical Modeling, December 4, 2019
NIPS, Vancouver, December 8-14, 2019.

Colloquium, Shanghai Jiaotong University, December 17 2019
Seminar, Fudan University, December 18, 2019

Joint Math Meetings, Denver, January 16-17, 2020
Georgia Scientific Computing Day, Emory University, 
February 29, 2020
Colloquium, Department of Statistics, University of Georgia, March 5, 2020
Purdue Online Data Science Seminar, September 14, 2020
Colloquium, RPI, September 16, 2020
Undergraduate Seminar at Georgia Tech, October 5, 2020
Applied Math Seminar, U Mass, October 13, 2020
Analysis Seminar, University of Oklahoma, November 23, 2020
Data Science Seminar, University of Minnesota, Feb 2, 2021
CMSE Seminar, Michigan State University, Feb 19, 2021
Focus Program on Data Science, Approximation Theory and Harmonic Analysis, Fields Institute, 2022
Banff Research program on New Ideas in Computational Inverse Problems, October 23-28, 2022