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andrewherren/README.md

Hi there, I'm Drew 👋

I am a Postdoctoral Fellow at the University of Texas at Austin. I completed my PhD in Statistics at Arizona State University in May 2023, working with Richard Hahn. My research interests include:

  • Machine learning / feature selection for causal inference
  • Bayesian nonparametrics (particularly, tree and partition-based methods)
  • Model interpretability

You can learn more about my research and other projects on my personal website.

Pinned Loading

  1. StochasticTree/stochtree StochasticTree/stochtree Public

    Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference

    C++ 17 6

  2. StochasticTree/stochtree-r StochasticTree/stochtree-r Public

    StochasticTree R package

  3. StochasticTree/stochtree-python StochasticTree/stochtree-python Public

    StochasticTree Python package

    1

  4. dissertation-experiments dissertation-experiments Public

    Code for experiments and simulation studies run in my PhD dissertation

    R 1

  5. implementations implementations Public

    Implementations of common algorithms / statistical methods for didactic purposes

    R 2

  6. semi-supervised-propensity semi-supervised-propensity Public

    Code for the paper "Semi Supervised Propensity Score Estimation"

    TeX 3 1