# Projects

#### Mediation Analysis in Causal Inference

Extending effects defined through mediation (e.g., direct effects) to stochastic interventions and intermediate confounders.

#### Causal Effects of Stochastic Interventions

Estimation and inference for causal effects based on stochastic treatment regimes, under two-phase sampling, in mediation settings, and for variable importance analysis.

#### Distractions

The things that keep me from working.

#### R Packages

Software packages developed to extend the R programming language.

#### Variance Moderation for Locally Efficient Estimators

Extending variance moderation for the stabilization of data-adaptive, efficient semiparametric estimators in high-dimensional biology.

Identification of differentially methylated positions and regions using techniques from causal inference and statistical machine learning.

# Recent Publications

(see CV for a full list)

Quickly discover relevant content by filtering publications.

### A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology

The widespread availability of high-dimensional biological sequencing data has made the simultaneous screening of numerous biological …

### Causal mediation analysis for stochastic interventions

Mediation analysis in causal inference has traditionally focused on binary treatment regimes and deterministic interventions, as well …

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

The advent and subsequent widespread availability of preventive vaccines has altered the course of public health in the twentieth …

### Functional profiling identifies determinants of arsenic trioxide cellular toxicity

Arsenic exposure is a worldwide health concern associated with an increased risk of skin, lung, and bladder cancer but arsenic trioxide …

adaptest is an R package for performing multiple hypothesis testing in problem settings commonly encountered in high-dimensional …

# Recent & Upcoming Talks

### Generalized Variance Moderation for Locally Efficient Estimation in High-Dimensional Biology

Exploratory analysis of high-dimensional biological data has received much attention since the explosion of high-throughput …

### Robust Inference on the Causal Effects of Stochastic Interventions Under Two-Phase Sampling, with Applications in Vaccine Efficacy Trials

Much of the focus of statistical causal inference has been devoted to assessing the effects of static interventions, which specify a …

### Fair Inference Through Semiparametric-Efficient Estimation Over Constraint-Specific Paths

We consider nonparametrically estimating a parameter of interest under the constraint that a functional of the parameter is bounded. We …

### Data-Adaptive Estimation and Inference for Differential Methylation Analysis

DNA methylation is amongst the best studied of epigenetic mechanisms impacting gene expression. While much attention has been paid to …

# Teaching

## current courses

• Public Health 242C & Statistics 247C: Longitudinal Data Analysis (Fall 2019), as graduate student instructor with Prof. Alan Hubbard

## Carpentries workshops

I am an active member of Software Carpentry and Data Carpentry, through which I engage in curriculum development, maintenance of lesson materials, and workshop delivery.