Recent Publications

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

Preprint PDF Code Project

(2020). scPCA: A toolbox for sparse contrastive principal component analysis in R. In J Open Source Softw.

PDF Code Project Source Document

(2020). Causal mediation analysis for stochastic interventions. In J. Royal Stat. Soc., Ser. B.

Preprint PDF Code Project Project

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

Preprint Project

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

Preprint Code Project Slides

(2019). Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy trials.

Code Project Slides

(2019). Functional profiling identifies determinants of arsenic trioxide cellular toxicity. In Toxicol Sci.

PDF

(2018). adaptest: Data-adaptive statistics for high-dimensional testing in R. In J Open Source Softw.

PDF Code Source Document

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

PDF Code Project Slides Source Document

(2018). origami: A generalized framework for cross-validation in R. In J Open Source Softw.

PDF Code Source Document

(2017). biotmle: Targeted Learning for biomarker discovery. In J Open Source Softw.

PDF Code Project Source Document

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

PDF Code Project Slides

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

Preprint Code