Wenjing Liao Awarded an NSF CAREER Grant

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Congratulations go to Wenjing Liao for being awarded an NSF CAREER grant, with the title:  Exploiting Low-Dimensional Structures in Data Science: Manifold Learning, Partial Differential Equation Identification, and Neural Networks.

See also the CoS news item on our website.

Wenjing Liao

Wenjing Liao is an Assistant Professor in the School of Mathematics with interests in imaging, signal processing,  high dimensional data analysis and machine learning. Prof. Liao won a National Science Foundation (NSF) award in deep neural networks for structured data as a principal investigator in 2020, representing the third NSF award and fourth award overall she has won since becoming an assistant professor at Tech in 2017. Prof. Liao is also very active in the REU Program in SoM, mentoring undergraduates and leading them in undergraduate research projects, having worked with nearly a dozen REU students in several projects including The Double Descent Phenomenon in Machine Learning, and Using Neural Networks to Classify PDE's.


The Faculty Early Career Development (CAREER) Program is a Foundation-wide activity that offers the National Science Foundation's most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization. Activities pursued by early-career faculty should build a firm foundation for a lifetime of leadership in integrating education and research.

Previous recipients of the NSF CAREER Award include:


  • Workflow Status:Published
  • Created By:sbarone7
  • Created:01/13/2022
  • Modified By:sbarone7
  • Modified:02/16/2022


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