I’m a software developer at the Language and Cognition Lab at Stanford University. I work on tools and resources for data sharing and other open science practices.
Previously, I was a postdoctoral scholar at the Quantitative Sciences Unit at Stanford University, where I worked with Maya Mathur on tools for reducing bias in meta-analysis and on studies of interventions for reducing meat consumption.
Before that I got my PhD in Brain and Cognitive Sciences at MIT, where I studied how kids learn words and word structure. I was advised by Ted Gibson and also collaborated extensively with Mike Frank, Virginia Marchman, Tim O’Donnell, and Roger Levy.
Framework for coordinated longitudinal data collection on children's learning and development
Textbook about experimental psychology methods and open science
Tools for conducting corrections and sensitivity analyses for biases in meta-analysis
Open repository of parent-report data on children's early language learning
Interactive, community-augmented meta-analysis tools for cognitive development research
Flexible and reproducible interface to CHILDES, a corpus of child language transcripts
Repository of developmental eyetracking datasets
Talk at posit::conf (August 2024).
Tutorial at ESMARConf2023 (March 2023)
Workshop at Stanford Libraries (February 2023)
Research Methods Seminar at Stanford (October 2022)
Workshop at LSA Summer Institute (July 2019)
R package for fitting generalized linear mixed effects models in Julia
R package for estimating moments for a truncated normal distribution
R package for making plots of data with categorical independent variables
R interface to the WebPPL probabilistic programming language