Recent Publications

(2020). Nonparametric inverse probability weighted estimators based on the highly adaptive lasso.

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(2020). Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy trials.

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(2020). Exploring high-dimensional biological data with sparse contrastive principal component analysis. In Bioinformatics.

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(2020). scPCA: A toolbox for sparse contrastive principal component analysis in R. In Journal of Open Source Software.

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(2020). Causal mediation analysis for stochastic interventions. In Journal of the Royal Statistical Society, Series B (Statistical Methodology).

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(2019). Non-parametric efficient causal mediation with intermediate confounders.

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(2019). A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology.

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(2019). Functional profiling identifies determinants of arsenic trioxide cellular toxicity. In Toxicological Sciences.

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(2018). adaptest: Data-adaptive statistics for high-dimensional testing in R. In Journal of Open Source Software.

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(2018). methyvim: Targeted, robust, and model-free differential methylation analysis. In F1000Research.

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(2018). origami: A generalized framework for cross-validation in R. In Journal of Open Source Software.

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(2017). biotmle: Targeted Learning for biomarker discovery. In Journal of Open Source Software.

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(2017). Generalized application of empirical Bayes statistics to asymptotically linear parameters. Master’s thesis, Graduate Division, University of California, Berkeley.

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(2017). Data-adaptive statistics for multiple hypothesis testing in high-dimensional settings.

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