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Hi there 👋

I'm a postdoctoral scholar at Stanford University working between the Poldrack and Linderman labs. My current research focuses on improving inferences we can draw from high-dimensional, naturalistic datasets through alignment.

I'm an open science enthusiast, particularly in developing tools and methods that make it easier to do open and reproducible work. I've contributed to several projects across the open neuroimaging ecosystem including fMRIPrep, nilearn, and tedana.

Elizabeth DuPre's Projects

abbr icon abbr

A tool to expand abbreviations detected within a string. Designed for scientific writing.

bep001 icon bep001

Project management repository (primarily issues) for BIDS Extension Proposal 001

bids-starter-kit icon bids-starter-kit

Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets

cosn-nilearn icon cosn-nilearn

Materials for the Chinese Open Science Network (COSN) Nilearn workshop

covid-dashboard icon covid-dashboard

Help welcomed if you have expertise in public health web technology, data modeling and munging, or visualization.

datalad icon datalad

Keep scientific data under control with git and git-annex

deep-mri-qc icon deep-mri-qc

This project is trained on private MRI data, where scans are marked QC_PASS or QC_FAIL. Several architectures of neural networks are explored to make automatic predictions for new images.

deltarice icon deltarice

A high-performance compression library optimized for up-to 16-bit digitized analog signals

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