Shawn Schwartz
Senior Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolShawn Schwartz is a Senior Data Scientist and PhD candidate at Stanford who builds production-grade ML and real-time systems that bridge rigorous research with scalable engineering. With nine years of experience across industry and academia, he has architected multimodal pipelines processing terabytes of EEG, eye-tracking, and behavioral data, shipped full-stack products serving millions, and reduced signal latency by 96% through algorithmic and parallel-processing optimizations. At Slack he designed end-to-end ML pipelines for 100K+ weekly users that informed C-suite strategy, and he’s comfortable shipping everything from Unity/C# VR platforms to PySpark/Trino containerized data systems. He’s published 20+ peer-reviewed papers, secured over $1M in research funding, and maintains open-source tooling (CRAN packages with 3K+ downloads), showing a rare mix of scientific rigor and product-focused delivery. What motivates him most is solving ambiguous infrastructure challenges where technical excellence directly improves user experience.
9 years of coding experience
5 years of employment as a software developer
University of California, Los AngelesDoctor of Philosophy - PhD, Psychology (Computational Cognitive Neuroscience), Doctor of Philosophy - PhD, Psychology (Computational Cognitive Neuroscience) at Stanford University
English, Spanish
Github Skills (38)
convolutional-neural-networks10
preprocessing10
r-package10
signal-processing10
eye-tracking10
segmentation10
biostatistics10
cran10
reproducible-science9
open-science9
python9
doi9
evolution9
cognitive-science9
neuroscience9
Programming languages (7)
Github contributions (5)
shawntz/fmriprep-workbench
Nov 2024 - Feb 2026
a (work in progress) attempt to transform the stanford memory lab's internal fmri preprocessing scripts into a generalizable template for consistency within and across lab projects
Contributions:2 releases, 30 reviews, 37 PRs in 1 year 2 months
preprocessingcomputing-clusterfmrifmri-preprocessingfmriprep
shawntz/eyeris
Jun 2024 - Jul 2026
👁️ CRAN-published R package for reproducible pupillometry preprocessing with BIDS compliance, automated QC reports, and scalable pipeline tools.
Contributions:12 releases, 82 reviews, 173 PRs in 2 years 1 month
preprocessingrr-packageeye-trackingpipelines
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