Graham Wills
Emergency Medicine Honorary Research Fellow at UW Health
Naperville, Illinois, United States
Summary
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Senior🎓
Top SchoolGraham Wills is an experienced analytics and AI architect with over two decades of delivering commercial-grade machine learning, visualization, and predictive systems for enterprises and healthcare. He has led product-defining innovations at IBM and SPSS—where his visualization frameworks reached millions of users—and now applies that expertise as AI/ML Architect at UW Health and an Emergency Medicine Honorary Research Fellow. A PhD statistician, he combines deep technical authorship (including a monograph and 60+ publications) with a proven track record of turning research into multi-million dollar product pipelines and patents. Graham excels at translating complex models into safe, easy-to-use systems for non-experts, improving decision-making in clinical and corporate settings. He also has a history of international impact, from tools used by government agencies in Africa to long-standing editorial and conference leadership in statistical visualization. Colleagues describe him as an inventor-driven leader who builds high-performance teams and products that change market expectations.
10 years of coding experience
27 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Trinity College Dublin
Stackoverflow
1reputation
0reached
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Github Skills (1)
visualization10
Github contributions (5)
grahamwills/ZeeSheet2
Aug 2022 - Feb 2024
Contributions:196 pushes in 1 year 6 months
Brunel-Visualization/Brunel
Sep 2015 - Oct 2018
Contributions:4 releases, 1089 commits, 10 PRs in 3 years 1 month
brunelvisualization
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