I am a statistics Ph.D. candidate at the University of Southern California’s Marshall School of Business department of Data Sciences and Operations. My advisors are Prof. Yingying Fan and Prof. Jinchi Lv. In the fall, I will be joining the Regulation, Evaluation, and Governance Lab at Stanford Law School as a Postdoctoral Researcher.

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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  • 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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