Ray Matsumoto is a data science manager with nine years of experience and five years focused on building AI/ML solutions in healthcare, currently leading Enterprise Data Science at Community Health Systems from Nashville. He has a strong track record delivering production-grade AI applications—especially generative models for clinical documentation improvement and denials management—and scaling CI/CD and MLOps pipelines on GCP and GitHub Actions. Prior roles at HCA Healthcare saw him improve patient census forecasting and automated nurse scheduling with advanced time-series and CP-SAT models while managing distributed engineering teams. Trained as a Ph.D. in Chemical and Biomolecular Engineering from Vanderbilt, he brings a research-driven approach and open-source credentials, contributing back-end and QA improvements to the mdtraj molecular dynamics library. Known for turning complex clinical workflows into auditable, scalable systems, he blends deep technical rigor with practical operational impact.
9 years of coding experience
9 years of employment as a software developer
Bachelor's Degree, Materials Science and Engineering, Bachelor's Degree, Materials Science and Engineering at Clemson University
Doctor of Philosophy (Ph.D.), Chemical and Biomolecular Engineering, Doctor of Philosophy (Ph.D.), Chemical and Biomolecular Engineering at Vanderbilt University
Study Abroad Program, Materials Science, Study Abroad Program, Materials Science at Tohoku University
An open library for the analysis of molecular dynamics trajectories
Role in this project:
Back-end Developer & QA Engineer
Contributions:11 reviews, 9 commits, 4 PRs in 2 years 7 months
Contributions summary:Ray contributed to the molecular dynamics trajectory analysis library by modifying the `mol2.py` file to enhance its functionality, specifically replacing string manipulation methods and improving element handling. They added and expanded unit tests, including tests for element names, and ensured all mol2 files are read properly. Furthermore, they introduced time-dependent distance and RDF functions, and made several changes to existing functions and test files to improve performance and accuracy.
Image analysis to detect phase separation in mixtures of fluids.
Contributions:39 commits, 2 PRs, 2 pushes in 6 months
image-analysispythondetectimage-processingfluids
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Ray Matsumoto - Manager - Enterprise Data Science, AI ML