Shawn Schwartz
Data Scientistsenior data scientist @slackhq
slackhq
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
senior data scientist @slackhq
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
slackhq
Data Scientist
June 22, 2026 – Present
datasci-homelab
December 30, 2025 – Present
🐳 A Docker-based data science homelab environment with RStudio Server and Jupyter Lab, designed for persistent package installations and remote access via Cloudflare tunnels.
View Projectcassh
December 4, 2025 – Present
💰 Ephemeral SSH key & cert manager for GitHub. Most developers juggle multiple GitHub accounts — work and personal, or multiple organizations. cassh manages them all from a single menu bar app.
View Projecttinyvault
October 14, 2025 – December 22, 2025
🔐 DIY Google Workspace client-side encryption for ~$0.10/month.
View Projectfmriprep-workbench
November 22, 2024 – Present
🧠 Standardized fMRI preprocessing and analysis framework with fMRIPrep integration and interactive TUI for reproducible neuroimaging research across multiple studies at Stanford Memory Lab.
View Projecteyeris
June 21, 2024 – Present
👁️ CRAN-published R package for reproducible pupillometry preprocessing with BIDS compliance, automated QC reports, and scalable pipeline tools.
View Projectedf2asc
February 1, 2023 – December 7, 2025
🛜 A utility to remotely yank .edf files from an EyeLink Eye Tracker Host PC and convert them to plain-text ASCII (.asc) on the fly.
View Projectcharisma
January 17, 2020 – Present
🌈 CRAN-published R package for quantifying color patterns in biological organisms — automated extraction, clustering, and statistical analysis of discrete color classes from digital images.
View Projecteeb-c177-w20
December 27, 2019 – March 1, 2024
lab section materials for eeb c177/c234 @ucla (winter 2020) 🐻
View Projectsashimi
December 25, 2019 – November 22, 2022
🍣 Deep learning pipeline for automated organism segmentation in biological images — enabling high-throughput morphological analysis (published in Methods in Ecology and Evolution, 2021).
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards scientific research and open-source contributions, particularly in biological and neuroimaging domains. This suggests a collaborative and knowledge-sharing mindset. The diversity of projects, from deep learning to system utilities, indicates a broad technical curiosity. However, the current experience shows a future role at 'slackhq' starting in 2026, which is unusual and might indicate a placeholder or future aspiration rather than current professional experience. This makes assessing current cultural fit based on professional experience challenging.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong drive for creating reproducible and scalable solutions, which aligns well with operational best practices. The focus on publishing R packages suggests attention to detail and community contribution. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is not possible.