Ross Gales is a computer scientist with nine years of experience who blends frontline emergency response insight with deep technical expertise to build AI- and information-driven tools for disaster response and social good. Currently a D.Phil. researcher at the University of Oxford, he focuses on making social media data more actionable for crisis organizations while championing responsible research and innovation. His hands-on stack includes Python/Django, Celery/Redis, PostgreSQL, D3.js and scikit-learn, and he has contributed to open-source Twitter-scraping tooling by modernizing compatibility and adding Firefox support. With dual undergraduate degrees and a first-class master’s from the University of Melbourne, Ross pairs rigorous academic training with practical systems engineering to deliver reliable, ethically minded solutions under real-world constraints.
9 years of coding experience
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Oxford
Scrape tweets, profiles, followers and following from Twitter/X, no API key needed. Python library with smart multi-account pooling, proxy support and async.
Role in this project:
Back-end Developer
Contributions:9 commits, 2 comments in 1 day
Contributions summary:Ross primarily focused on fixing deprecation warnings and updating the codebase to align with newer versions of libraries, specifically related to Twitter scraping functionality. These changes involved modifying the `Scweet/utils.py` file to ensure compatibility with updated Selenium and related web-scraping tools, demonstrating a focus on maintaining the core functionality of the Twitter scraper. Additionally, the user contributed by adding support for Firefox driver.
Twitter user network data collection tool (ongoing Ph.D. work)
Contributions:212 commits, 3 PRs, 173 pushes in 5 years 2 months
twitter
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