Arun Kannawadi
Assistant Research Professor at Rubin Observatory
Durham, North Carolina, United States
Summary
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Rockstar🎓
Top SchoolArun Kannawadi is an observational cosmologist and scientific software developer with 11 years of experience, currently an Assistant Research Professor at Duke and a science pipelines developer for the Rubin Observatory. He holds a Ph.D. in Physical Cosmology from Carnegie Mellon and has a track record of turning demanding survey requirements into production-grade algorithms—most notably for LSST image coaddition and accurate, atmosphere-independent galaxy color measurements. Proficient in C++ and Python, Arun contributes to robust open-source tooling (including bug fixes and test-driven improvements to the scholarly Python package for Google Scholar data) and blends hands-on coding with rigorous statistical inference. He combines deep domain expertise in weak lensing and shear calibration with practical engineering skills from embedded systems to quantum optics, reflecting both breadth and attention to experimental detail.
11 years of coding experience
12 years of employment as a software developer
Indian Institute of Technology MadrasMasters in Science, Physics, 3.72/4.0, Masters in Science, Physics, 3.72/4.0 at Carnegie Mellon University
English, Tamil, Hindi, French, Dutch, Saurashtra
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (5)
unit-testing10
data-parsing10
python10
webscraping10
matlab6
Programming languages (9)
Github contributions (5)
scholarly-python-package/scholarly
Aug 2021 - Jan 2023
Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:20 releases, 26 reviews, 248 commits in 1 year 4 months
Contributions summary:Arun primarily contributed to bug fixes and enhancements within the Google Scholar data retrieval package. They addressed issues related to indexing and sorting in the `search_pubs` function and also fetched coauthor data more completely. Their work involved modifying core Python files, including the author and publication parsing modules, and writing unit tests. They also worked on making the package more robust and maintainable.
citation-analysispythonscholarly-articlesgooglescholarcitation-network
arunkannawadi/scholarly
Sep 2021 - Oct 2022
Retrieve author and publication information from Google Scholar in a friendly, Pythonic way
Contributions:4 reviews, 68 commits, 14 PRs in 1 year
pythongoogle-scholarscholarpythonicretrieve
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