Aaron Rumack

Data Scientist

Israel
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Summary

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Senior
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Top School
Aaron Rumack is a data scientist with 11 years of experience applying machine learning and advanced statistics to public health problems, recently relocating to Israel after earning a PhD in Machine Learning from Carnegie Mellon. He has led the development of scalable forecasting methods for influenza, COVID-19, and RSV—implementing a generalized additive model that improved accuracy while cutting computation time by two orders of magnitude and diagnosing flaws in previous Bayesian approaches. His work spans hierarchical Bayesian spatiotemporal modeling, bias-correction of health insurance claims, and practical tooling in Python and R, with hands-on experience deploying analyses for the CDC. Known for bridging theory and practice, he combines rigorous probabilistic methods with pragmatic engineering to deliver timely, actionable forecasts to public-health stakeholders.
code11 years of coding experience
job2 years of employment as a software developer
bookBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Cornell University
bookCarnegie Mellon University
languagesEnglish, Hebrew, Spanish
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Github Skills (17)

corona10
api10
nodejs9
docker8
delphi6
hierarchical5
stan4
governance4
data-storage3
effort3
temporal-data2
boilerplate2
forecasting2
visualization1
forecast1

Programming languages (4)

RJavaScriptHTMLPython

Github contributions (5)

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rumackaaron/recalibration

Jun 2022 - Dec 2022

Contributions:10 pushes, 1 branch in 6 months
rumackaaron/nowcast-dengue

Dec 2018 - Dec 2018

Contributions:8 pushes, 4 branches in 17 days
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