Encoding multi-layered Vega-Lite COVID-19 Geodata visualizations
Details
Visualizations are a powerful tool for communicating results to end-users and stakeholders. Their development and life-cycle management are no less challenging than the underlying processes producing the results they communicate. Our team overcomes these challenges by leveraging Vega-Lite to encode visualizations as JSON objects and using the MLflow model registry as a visualization registry. During this presentation, we will walk through the process of creating a multi-layered Vega-Lite visualization using COVID-19 and Geodata, then managing it with the MLFlow model registry.
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Speakers
Andrew Bauman is a scientist with advanced degrees in chemistry and toxicology with research, analytics, and data science experience spanning hospital research organizations, pharma, and online education. He is currently an Advanced Analytics Product Engineer at Seattle Childrens, previously holding roles as a content developer (Udacity School of Autonomous Systems), Machine Learning Engineer (Healthslate and Entrée AI), and Analytical Team Leader (Bristol Myers Squibb).
James Hibbard is a data engineer with seven years of experience working within biomedical research. He is currently at Seattle Childrens where he is developing frameworks and methods for integrating medical records with multi-omics datasets to improve care.