Miscellaneous

Coursework

A list of my past coursework can be found here.

Paper Reviews

Paper and book chapter reviews from the regular seminar of the Causal Inference Lab.

  • A nonparametric framework for treatment effect modifier discovery in high dimensions
    Boileau, P., Leng. N., Hejazi, N. S., van der Laan, M., & Dudoit, S. (2025). JRSSB
    paper review slides · original paper

  • Causal inference on distribution functions
    Lin, Z., Kong, D., & Wang, L. (2023). JRSSB
    paper review slides · original paper

  • Transfer learning between U.S. presidential elections: How should we learn from a 2020 ad campaign to inform 2024 ad campaigns?
    Miao, X., Zhao, J., & Kang, H. (2024). arXiv preprint
    paper review slides · original paper

  • Covariate-adaptive randomization inference in matched designs
    Pimentel, S. D., & Huang, Y. (2024). JRSSB
    paper review slides · original paper

  • Finding influential subjects in a network using a causal framework
    Lee, Y., Buchanan, A. L., Ogburn, E. L., Friedman, S. R., Halloran, M. E., Katenka, N. V., Wu, J., & Nikolopoulos, G. K. (2023). Biometrics
    paper review slides · original paper

  • High-dimensional statistics: A non-asymptotic viewpoint
    Wainwright, M. J. (2019).
    book review slides · original book