Kyle Shannon is a data science leader and entrepreneur with 11 years of experience applying ML and data engineering to improve healthcare access for rural and semi-urban communities. As Director of Data Science at Volunteer Transportation Center and co-founder of Turnkey Trips, he designs robust data pipelines, partners with hospitals and transit authorities, and drives analytics that reduce missed appointments and readmissions while staying Medicare-compliant. He also teaches data science at UCSD, having instructed over 1,100 students with a 98% instructor rating, and contributes to federated learning tutorials in the open-source OpenFL project. Combining hands-on ML engineering, strategic leadership, and community-focused product development, he blends academic rigor in cognitive neuroscience with practical solutions that move policy and operations. An unexpected thread through his career is a knack for pedagogy—translating complex models into teachable, deployed systems that empower local partners.
Contributions:3 reviews, 5 commits, 2 PRs in 1 day
Contributions summary:Kyle primarily contributed to the OpenFL tutorial notebooks, focusing on integrating and updating dependencies for federated learning examples. Their work involved installing and configuring PyTorch and TensorFlow versions and datasets like MNIST and TinyImageNet. Furthermore, they added and updated code within the notebooks, including creating test set splits and functions to check for Intel TensorFlow optimization.
WebApp to allow communities easier access to vaccine appointment info and links to make reservations.
Contributions:119 commits, 60 PRs, 77 pushes in 1 month
vaccinecommunitiesreservationslinkswebapp
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