Shawn 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 Angeles
Doctor of Philosophy - PhD, Psychology (Computational Cognitive Neuroscience), Doctor of Philosophy - PhD, Psychology (Computational Cognitive Neuroscience) at Stanford University
Contributions:12 PRs, 206 pushes, 19 branches in 3 years 3 months
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