I am a statistics Ph.D. candidate at the University of Southern California. My advisors are Prof. Yingying Fan and Prof. Jinchi Lv. I received my B.S. in Mathematics and Economics from USC in 2017.

My research focuses on developing new statistical methodologies for high-dimensional data and expanding our theoretical understanding of commonly-used machine learning methods in high-dimensional settings. I am particularly interested in developing non-parametric methods with rigorous statistical guarantees for causal inference problems.

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I am on the 2021-2022 job market.

  • Causal Inference
  • Nonparametric and semi-parametric statistics
  • Random Forests
  • Ph.D. in Statistics, 2022 (expected)

    University of Southern California

  • B.S. in Economics and Mathematics, 2017

    University of Southern California

Recent Publications

(2022). Immigrants, Intersectionality and the Politics of Substantive Representation. Journal of Women, Politics & Policy.

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(2021). Asymptotic Properties of High-Dimensional Random Forests.

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(2021). Dimension-Free Average Treatment Effect Inference with Deep Neural Networks.

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(2021). Nonparametric Inference of Heterogeneous Treatment Effects with Two-Scale Distributional Nearest Neighbors.

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