Dmitry Shemetov
Statistical Developer
Davis, California, United States
Summary
👤
Senior🎓
Top SchoolDmitry Shemetov is a Statistical Developer and applied mathematics PhD with a decade of experience building data infrastructure, public-health forecasting, and scientific software. He currently contributes statistical analyses and data engineering for Carnegie Mellon's Delphi COVID modeling group, translating research-grade methods into production-ready pipelines. His doctoral work at UC Davis focused on the statistical limits of distributed systems and graph-structured problems, informing both his modeling intuition and systems design. Earlier roles span machine-learning research at Los Alamos and hands-on engineering of speech recognition and logging systems, evidencing a rare blend of theoretical depth and practical implementation. Based in Davis, CA, he combines rigorous probabilistic thinking with applied tool-building—and, as his GitHub bio hints, a playful streak that keeps his problem-solving curiosity grounded.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of California, DavisBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Florida State University
Github Skills (139)
python10
standardized10
malware10
command-line-tool10
backend10
openapi10
markdown10
pandas10
forecasts10
data-access10
r-package10
delphi10
data-science10
hosts-file10
bootstrapping10
Programming languages (14)
Github contributions (5)
cmu-delphi/flusight-helper-snippets
May 2023 - Oct 2024
Snippets showing how to access archived HHS data through Delphi's Epidata API
Contributions:1 review, 2 PRs, 1 push in 1 year 6 months
dshemetov/covidcast-indicators
Feb 2021 - Feb 2024
Back end for producing indicators and loading them into the COVIDcast API.
Contributions:200 pushes, 33 branches in 3 years
apidockernodejsindicatorscovidcast
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