HamadaΒ Badr
Senior Applied Scientist at Amazon
Seattle, Washington, United States
Summary
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Top SchoolHamada Badr is a Senior Applied Scientist based in Seattle with over a decade of experience blending machine learning, numerical simulation, and software engineering to tackle problems across aerodynamics, hydroclimate, infectious disease, and cloud-scale forecasting. Trained in aerospace engineering and earth sciences with a PhD from Johns Hopkins, he moves fluidly between research and productionβleading epidemic risk mapping and environmental drivers projects at JHU before building ML-driven customer-journey and capacity-planning systems at AWS and Amazon. A language-agnostic developer and HPC practitioner, Hamada contributes to core open-source probabilistic tools like Stan (including C++ threading and R interface fixes), reflecting a deep comfort with low-level performance and statistical computing. He pairs technical breadth with leadership in long-term, multidisciplinary programs, and a lesser-known strength is translating complex physical models into operational forecasting pipelines that inform real-world decisions.
12 years of coding experience
13 years of employment as a software developer
Johns Hopkins UniversityMaster of Science - MS, Aerospace, Aeronautical and Astronautical Engineering, Master of Science - MS, Aerospace, Aeronautical and Astronautical Engineering at Cairo University
Arabic, English, Turkish
Stackoverflow
111reputation
8kreached
2answers
0questions
Github Skills (27)
bayesian-statistics10
c-language10
r-package10
r10
testing10
mcmc10
automatic-differentiation10
tbb10
bayesian10
statistical-models10
stan10
cprogramming-language10
bayesian-inference10
software-update9
versioninfo9
Programming languages (11)
Github contributions (5)
stan-dev/rstan
Dec 2020 - Dec 2022
RStan, the R interface to Stan
Role in this project:
Back-end Developer
Back-end DeveloperContributions:38 reviews, 390 commits, 16 PRs in 2 years
Contributions summary:Hamada's commits primarily focused on maintaining and improving the core functionality of the RStan package. This includes tasks such as merging updates from the Stan develop branch, fixing data parsing issues within the C++ code, and allowing automatic formatting of the Stan code. The user introduced helper functions and addressed issues related to the within-chain threading capabilities within the package. Furthermore, the user supported the use of stan::io::validate_dims and made other minor but impactful improvements.
r-packagebayesian-inferencestanrstanrstats
stan-dev/stan
Dec 2020 - Jun 2022
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Role in this project:Backend Developer
Backend DeveloperContributions:5 reviews, 19 commits, 11 PRs in 1 year 6 months
Contributions summary:Hamada primarily contributed to the core functionality of the Stan development repository. Their work involved updating versioning information, including major, minor, and patch versions. They also merged release branches and made additions and modifications to existing code, like in the `reader.hpp` file. The commits demonstrate a focus on maintaining and updating internal project infrastructure, and potentially incorporating a new release.
bayesian-inferencestanmasterbayesian-statisticsdetails
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