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Ningyuan (Teresa) Huang

Flatiron Research Fellow

Center for Computational Mathematics, Flatiron Institute

I am a Flatiron Research Fellow in the Center for Computational Mathematics at Flatiron Institute. I am broadly interested in geometric deep learning and mechanistic understanding of foundation models.

I completed my PhD in 2024 from Johns Hopkins University, where I was very fortunate to be co-advised by Professor Soledad Villar and Professor Carey Priebe. I was a research intern at Apple Machine Learning Research in 2023 and 2024.

Interests

  • Representation Learning and Graph Neural Networks
  • Theory and Algorithms for Foundation Models
  • ML4Science

Education

  • Ph.D. in Applied Math & Stat, 2024

    Johns Hopkins University

  • M.S. in Data Science, 2020

    New York University

  • B.S. in Statistics and Economics, 2016

    University of Hong Kong

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