Experience

Programmed a PsychoPy task for response time measurement in which mouse-to-response distance was held constant across items, so that observed response time differences reflect cognitive rather than motor variation. Ran data collection from recruitment through completion, and administered the laboratory's research operations.

Led an independent project, which became my undergraduate thesis in psychology, applying causal forests in R (grf) to estimate heterogeneous treatment effects of COVID-19-related stressors on well-being — asking for whom those effects were strongest rather than estimating an average effect alone. Collaborated with the Center for Happiness Studies, which provided the dataset, on interpreting the results. Project page →

Served as one of several analysts in a lab-internal many-analysts exercise, independently making and documenting analytic decisions on a shared dataset so that variability across analysts could be compared. Conducted literature reviews on tree-based machine learning in psychological research, mediation and moderation macros, and a registered-reports survey study.

Wrote R code visualizing individual differences in performance for a project analyzing data from an orthogonalized go/no-go task, and took part in a weekly literature group on computational approaches to decision-making and fMRI analysis.