James Bishop
Economist II (L5) at Institute for Defense Analyses
Tulsa, Oklahoma, United States
Summary
👤
Senior🎓
Top SchoolJames Bishop is a PhD economist and data scientist with eight years of experience turning hiring and labor-policy problems into reproducible, production-ready solutions. At Amazon he translates hiring processes into mathematical models, implements them in code, and designs experiments to validate outcomes; previously he advised DoD and federal policymakers at the Institute for Defense Analyses on labor and public health. He leads development of the open-source Finite-Interval Forecasting Engine (FIFE), applying forecasting methods to military retention challenges. Comfortable at the intersection of research and engineering, he combines rigorous academic training (PhD, 3.91 GPA) with hands-on software delivery to move complex analyses into operational use. Based in Tulsa, he brings a proven ability to communicate technical results—from classroom lectures to policymaker briefings—while shipping auditable, experiment-driven systems.
8 years of coding experience
Ph.D., Economics, 3.91, Ph.D., Economics, 3.91 at Oklahoma State University
Github Skills (27)
forecasting-models10
survival-analysis10
forecasting10
time-series-forecasting10
survival9
machine-learning-models9
machine-learning9
time-series8
psychometrics7
corpus5
artificial-intelligence4
abstraction4
python4
nlp4
natural-language-processing3
Programming languages (2)
Github contributions (5)
IDA-HumanCapital/fife
May 2020 - Jun 2022
Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
Contributions:11 reviews, 347 commits, 97 PRs in 2 years
forecastingtime-series-analysismultivariate-time-seriestime-seriesdiscrete-time
jamesmckownbishop/neonatal-mortality-prediction
May 2018 - Jun 2018
Contributions:22 commits, 2 PRs, 18 pushes in 19 days
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