Michael Chow is a Principal Software Engineer with 13 years of experience blending cognitive science, statistics, and software to build tools for data analysis and learning. With a Ph.D. in Cognitive Psychology from Princeton, he applies insights about human memory and expert performance to design practical developer-facing libraries and assessment systems, notably creating the siuba data-manipulation tool. He has led teams and modernized data infrastructure—from founding a DataCamp adaptive assessment practice to scaling a California transit data warehouse—while shipping open-source work and documentation-focused projects. Now at Posit, he focuses on Python tools for analysis, reporting, and reproducible docs, bringing a rare mix of research-driven thinking and production engineering. An atypical engineer who studies how people learn complex tasks, he excels at turning cognitive principles into developer workflows that improve usability and reliability.
13 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Psychology, Bachelor’s Degree Psychology at Idaho State University
Doctor of Philosophy (Ph.D.) Cognitive Psychology, Doctor of Philosophy (Ph.D.) Cognitive Psychology at Princeton University
This repository is to hold scripts and containers for the Opioid Data Hackathon
Contributions:54 commits, 1 PR, 54 pushes in 1 month
containersopioidpython
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Michael Chow - Principal Software Engineer at Posit PBC