Nathaniel Haines
Senior Manager Data Science
Columbus, Ohio, United States
Summary
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Top SchoolNathaniel Haines is a Senior Manager in Data Science with a PhD in Mathematical Psychology and nine years of experience applying Bayesian and generative modeling to health-tech and fin/insur-tech problems. He leads teams from research through production, specializing in probabilistic forecasting, model stacking, measurement-error modeling, and ML-Ops to deliver robust decision tools under uncertainty. Nathaniel has 20+ peer-reviewed publications, created widely used open-source Bayesian tooling, and publishes methods for model comparison that have been productionized for pricing and loss forecasting. Equally comfortable in academia and industry, he blends rigorous experimental design and causal inference with pragmatic software development to accelerate product impact. Based in Columbus, Ohio, he runs a consulting practice and is known for making analytics workflows both more delightful and less error-prone.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Mathematical Psychology, Doctor of Philosophy - PhD Mathematical Psychology at The Ohio State University
Github Skills (18)
bayesian10
decision-making10
modeling10
reinforcement-learning9
open-access8
python8
journal8
toolbox8
gambling7
statistics7
creative-commons7
academia6
machine-learning5
data-science4
science4
Programming languages (7)
Github contributions (5)
CCS-Lab/Haines_CVML_2018
Dec 2018 - Nov 2020
Contributions:4 commits, 4 pushes in 1 year 10 months
CCS-Lab/Haines_2020_CPS
Apr 2020 - Apr 2020
Contributions:11 commits, 10 pushes, 1 branch in 5 days
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