Simon Biggs
Member Of Technical Staff at Anthropic
New South Wales, United Kingdom
Summary
👤
Senior🎓
Top SchoolSimon Biggs is a Member of Technical Staff at Anthropic and a medical physicist-turned-software engineer with 11 years of experience building reliable, safety-minded AI and clinical tools. He founded and still core-develops PyMedPhys, driving an open-source standard library for medical physics, and has hands-on full-stack contributions to high-profile projects like Streamlit (adding experimental rerun support and CLI fixes). Comfortable across Python, data apps, and clinical workflows, he blends rigorous academic training in physics/medical physics with practical teaching and mentoring experience. Simon’s work is guided by stewardship and transparency—preferring peer review, open code, and pragmatic engineering to help AI have a safe landing.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BSc), Physics and Mathematics, 6.25 / 7.0, Bachelor of Science (BSc), Physics and Mathematics, 6.25 / 7.0 at The University of QueenslandMaster of Applied Science, Medical Physics, 6.5 / 7.0, Master of Applied Science, Medical Physics, 6.5 / 7.0 at Queensland University of Technology
Stackoverflow
854reputation
126kreached
23answers
2questions
Github Skills (18)
python10
testing10
streamlit10
data-visualizations9
data-visualisation9
developer-tools9
data-visualization9
data-analysis8
data-science8
machine-learning7
autocomplete6
windows6
docker6
numpy6
git6
Programming languages (24)
Github contributions (5)
streamlit/streamlit
Apr 2020 - Apr 2021
Streamlit — A faster way to build and share data apps.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:4 reviews, 6 commits, 8 PRs in 1 year
Contributions summary:Simon contributed to the Streamlit project by implementing new features and fixing bugs. They added the `experimental_rerun` functionality, enabling script rerunning within the app. The user also worked on making the `python -m streamlit` command work correctly, and adjusted the media manager to utilize the mimetype library. Additionally, the user made small fixes to the existing code.
data-analysispythondata-sciencedeep-learningfastest
RadiotherapyAI/train-data-public
Jul 2022 - Jul 2022
Contributions:727 pushes, 1 branch in 1 day
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