Chi-yang Li is a process safety consultant and Ph.D. chemical engineer with six years of experience blending data-driven research, machine learning, and hands-on process safety practice across industry and consulting. He has led PHA/LOPA/HAZOP programs, developed PSM guidance and training for dozens of plants, and supported regulatory RMP preparation while at REM Risk and ISHA. As a TEES researcher he built Python ML tools for predicting CO2 release impact radii, flammability of mixtures, and screened MOF adsorbents, demonstrating an ability to translate CFD and high-throughput computational data into practical safety solutions. He also contributes to open-source engineering tooling—improving Apache Beam’s Go SDK and test coverage—highlighting a commitment to code quality and scalable data processing. Based in College Station, he combines regulatory and field experience with advanced analytics to deliver pragmatic, research-backed process safety improvements.
5 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Chemical Engineering, Bachelor's degree, Chemical Engineering at National Taiwan University
Doctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at Texas A&M University
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Backend Developer & Test Automation Engineer
Contributions:6 reviews, 6 commits, 8 PRs in 27 days
Contributions summary:Chi-yang contributed to the Apache Beam project by addressing code typos, improving error messages, and increasing unit testing coverage. They added tests to the `exec` and `sql` packages, demonstrating a focus on code quality and reliability. The user also made improvements to the Go SDK, enhancing its functionality and robustness.
Contributions:6 commits, 5 pushes, 1 branch in 2 years 1 month
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