Bridging neuroscience and software to understand how brains differ and make research more open and reproducible.
I'm a Research Coordinator at the Poldrack Lab @ Stanford University, where I serve as primary analyst for two of the largest dense-sampling fMRI datasets in the field. My work sits at the intersection of precision fMRI, computational modeling, and open-source research infrastructure.
I'm motivated by a fundamental question: how does the brain give rise to individual differences in perception, memory, and social cognition? I design cognitive tasks for behavioral and neuroimaging experiments, build data pipelines for fMRI analysis, and contribute to open-source tools that help researchers do better science. Outside the lab, you'll find me playing volleyball, biking or hiking, or caring for my two dogs and six cats.
Leading analysis of two of the largest dense-sampling fMRI datasets in cognitive neuroscience, exploring whether task-regressed residuals can estimate individual-level functional networks.
Applying factor analysis to fMRI contrast maps across cognitive control paradigms to test whether NIMH RDoC constructs correspond to separable neural circuits.
Building open-source tools for reproducible neuroimaging: end-to-end fMRI pipelines, CI/CD infrastructure with DataLad provenance, and 50+ jsPsych cognitive tasks.