Ryan Stofer
Statistical Research Programmer
Brea, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Stofer is a data scientist and statistical research programmer with four years of applied experience, recently completing a 4.0 MS in Data Science from UC Irvine. He blends strong statistical and programming chops (Python, R, SAS, SQL, C++) with domain-focused research, currently analyzing DOJ datasets and building an LLM chatbot to support opioid addiction recovery at Chapman University. His work spans experimental design and production-ready ML: from deep learning pipelines for X-ray diffraction at SLAC to interrupted time series analyses of prescription impacts. A proven leader from student government to fraternity presidency, he pairs technical rigor with cross-disciplinary collaboration and teaching experience. Ryan’s unusual mix of public-health-focused research and hands-on ML deployment makes him effective at turning complex data into actionable, human-centered solutions.
4 years of coding experience
1 year of employment as a software developer
Master's degree, Data Science, 4.0, Master's degree, Data Science, 4.0 at UC Irvine Donald Bren School of Information and Computer SciencesBachelor's degree, Applied Mathematics and Statistics & Data Science, High Honors, Bachelor's degree, Applied Mathematics and Statistics & Data Science, High Honors at UC Santa BarbaraHigh School Diploma, 4.45, High School Diploma, 4.45 at Troy High SchoolArnold O. Beckman High School
English, Spanish, Japanese
Github Skills (13)
manifold9
geometry7
statistics7
gpu-programming7
machine-learning6
deep-learning5
simulation4
surface4
mediawiki-extension3
high-resolution2
raster2
gdal1
super-resolution1
Programming languages (4)
Github contributions (5)
rrstofer/rrstofer.github.io
Oct 2023 - Mar 2026
Contributions:65 pushes in 2 years 5 months
rrstofer/ece594n
Jan 2023 - Mar 2023
Contributions:14 pushes, 3 branches in 1 month
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