I am an Assistant Professor at Stanford University’s Quantitative Sciences Unit and the Associate Director of the Stanford Data Science Institute’s Center for Open and Reproducible Science (DSI-CORES).
I do both original statistical research and applied research. My publication list is available on Google Scholar, and repositories with data, code, and materials for my research are available on the Open Science Framework.
PhD Biostatistics, 2015-2018
Harvard University
MS Statistics, 2011-2013
Stanford University
BA Psychology, 2009-2013
Stanford University
Regression-based causal mediation analysis with a treatment-mediator interaction term.
Software in R, Javascript, and Qualtrics to design and analyze psychology experiments that use fine-grained mouse-tracking measures of perceptual category competition.
Conducts sensitivity analysis for publication bias in meta-analyses.
Contains functions to estimate the proportion of effects stronger than a threshold of scientific importance, to make effect size conversions, and to compute and format estimates and inference.
Conducts sensitivity analysis for unmeasured confounding for observational studies and meta-analysis, and conducts analogous sensitivity analyses for selection bias.
Calculates the E-value, a measure of sensitivity to unmeasured confounding.
Calculates the E-value, a measure of sensitivity to unmeasured confounding.
Computes metrics of outcome-wide evidence strength for studies testing multiple correlated outcomes.
Conducts statistical analyses for multisite replication projects.
Simulates a longitudinal dataset with time-varying covariates with user-specified correlation structure.