Takuya Iwanaga
Senior Research Scientist at Australian Institute of Marine Science
Canberra, Australia
Summary
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Rockstar🎓
Top SchoolTakuya Iwanaga is a Senior Research Scientist based in Canberra with a decade of experience building research-grade software and integrated environmental models, currently at the Australian Institute of Marine Science. He blends a PhD in Environmental Science with strong software engineering skills in Python and Julia, contributing to notable open-source projects like SALib (sensitivity analysis) and Makie.jl (interactive visualization). His work spans backend and full-stack development, improving data interoperability (e.g., converting sensitivity indices to pandas DataFrames) and usability (clipboard support and relocatable builds), reflecting attention to both reproducible science and user-facing detail. Experienced across hydrology, risk assessment, and exploratory socio-environmental modelling, he pairs domain insight with practical coding in R, C, Fortran and web technologies. Colleagues value him for turning complex environmental research needs into testable, production-ready tools that support policy and decision-making.
10 years of coding experience
12 years of employment as a software developer
Australian National UniversityMaster’s Degree, Technology, Master’s Degree, Technology at University of CanberraAdvanced Diploma, New Media, Advanced Diploma, New Media at Canberra Institute of Technology
Github Skills (13)
pandas10
statistics10
python10
plot10
graphic10
statistic10
julia10
testing10
data-analysis9
command-line9
cli9
command-line-interface9
gpu8
Programming languages (8)
Github contributions (5)
SALib/SALib
Oct 2018 - Jan 2023
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 releases, 50 reviews, 793 commits in 4 years 3 months
Contributions summary:Takuya focused on improving the analysis capabilities within the SALib library, demonstrating a focus on extending the functionality of the analysis features. This involved creating and modifying methods to convert sensitivity index information into a Pandas DataFrame for better integration with other data analysis tools. Moreover, they were responsible for adding and modifying methods related to bootstrap resampling methods for confidence intervals. They also improved the consistency of the CLI interface, including supporting command line options.
sensitivity-analysis-libraryjossmorrispythonsensitivity-analysis
MakieOrg/Makie.jl
Sep 2022 - Jan 2023
Interactive data visualizations and plotting in Julia
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:3 reviews, 6 commits, 3 PRs in 3 months
Contributions summary:Takuya primarily contributed to the interactive data visualization library by adding features to the textbox element. They implemented support for pasting text from the clipboard, including necessary checks for allowed characters. Additionally, the user wrote tests to verify the copy/paste functionality, ensuring the textbox behaved as expected. The user also made improvements to the build process by making the GLMakie library relocatable.
julia-languagegpuvisualizationsdata-visualizationplotting
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