# Shawn Schwartz > Software engineer, data scientist, and researcher building tools at the intersection of technology and science. ## About Shawn Schwartz is a PhD candidate at Stanford University specializing in neuroscience and computer science. Former Data Scientist at Slack. He builds developer tools, scientific software, and open-source packages that help researchers and developers work more efficiently. - Website: https://shawnschwartz.com - GitHub: https://github.com/shawntz - Google Scholar: https://scholar.google.com/citations?user=xII63_wAAAAJ - LinkedIn: https://linkedin.com/in/shawnts - Email: hey@shawnschwartz.com ## Research Interests - Episodic Memory - Attention - Cognitive Aging - Neuroimaging (fMRI) - Human Performance ## Software & Tools For detailed information about each project, see: https://shawnschwartz.com/llms-full.txt ### eyeris (R Package) CRAN package for preprocessing and analyzing pupillometry data. Automates artifact detection, blink interpolation, baseline correction, and generates analysis-ready datasets. - URL: https://shawnschwartz.com/eyeris - CRAN: https://cran.r-project.org/package=eyeris - Use case: Researchers analyzing eye-tracking pupil data ### charisma (R Package) CRAN package for automated preprocessing and analysis of heart rate data from wearable devices and physiological sensors. - URL: https://shawnschwartz.com/charisma - Use case: Researchers analyzing heart rate/HRV data ### fMRIPrep Workbench Docker-based CLI tool for streamlined fMRI data preprocessing using fMRIPrep. Simplifies neuroimaging workflows with automated BIDS validation and parallel processing. - URL: https://shawnschwartz.com/fmriprep-workbench - Use case: Neuroscientists preprocessing fMRI data ### clementime macOS menu bar app built with SwiftUI for time tracking and productivity. - URL: https://clementime.app - Platform: macOS (SwiftUI) ### cassh macOS SSH connection manager built with Go. Lightweight terminal-based tool for managing SSH connections. - URL: https://shawnschwartz.com/cassh - Platform: macOS (Go) ### TinyVault Self-hosted secrets management solution using Python and Docker. - URL: https://github.com/shawntz/tinyvault - Use case: Developers needing lightweight secrets management ## Citation Metrics - Citations: 340+ - h-index: 11 - i10-index: 12 ## Expertise - Languages: Python, R, TypeScript, Swift, Go - Domains: Data Science, Machine Learning, Neuroimaging, iOS/macOS Development - Tools: Docker, fMRI analysis, Eye-tracking, Physiological signal processing