Christopher Wiswell is an experienced IT systems manager and team lead with over a decade building web, mobile, and cloud platforms for large audiences—most recently directing development for the University of Wisconsin–Madison Athletics. He combines hands-on roles from business analysis and database administration to chief cloud architect and mentor, shipping everything from microsites and mobile apps to serverless APIs and distributed data systems. His background includes leading digital platforms and data teams, running a long-standing development consultancy as CTO, and contributing QA and test automation improvements to notable open-source projects like the Covasim COVID-19 simulator. Based in Madison, he brings a pragmatic blend of technical depth and people leadership, with a less-obvious strength in codifying testing practices that improve long-term model and system reliability.
10 years of coding experience
20 years of employment as a software developer
Master's Degree, Medical Informatics, Master's Degree, Medical Informatics at Medical College of Wisconsin
University of Wisconsin-Madison
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Carroll University
Master's Degree, Medical Informatics, Master's Degree, Medical Informatics at Milwaukee School of Engineering
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:61 commits, 9 PRs, 4 pushes in 3 months
Contributions summary:Christopher primarily focused on improving the testing coverage and quality of the `covasim` project. Their commits involved adding new unit tests and modifying existing ones to match the repository's coding standards. They addressed specific issues by fixing bugs related to disease progression and mortality probabilities, further demonstrating their commitment to ensuring the reliability of the simulation model. The user also made changes to the test files and support classes, indicating an effort to refine and maintain the testing infrastructure.
COVID-19 Agent-based Simulator (Covasim): a model for understanding novel coronavirus epidemiology
Contributions:20 pushes, 14 branches in 3 months
crosswordunderstandingagent-basedagentcovasim
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Christopher Wiswell - IT Systems Manager at Wisconsin Athletics