Ryan Kyle
Research Consultant, Division Of General Internal Medicine at University of Washington
Burlington, Vermont, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Kyle is a research consultant and quantitative scientist with eight years of experience applying PK/PD, dose-response modeling, and simulations across academic and industry settings. Based in Burlington, VT, he blends strong statistical programming in R, SAS, Phoenix and NONMEM with a knack for producing clear, publication-ready visualizations and interactive Shiny apps. He has led teams and infrastructure work at Plotly—contributing to the widely used Dash ecosystem by building R components, automation, and deployment tooling—and maintained cross-language integrations for dash-cytoscape and dash-bio. His background spans epidemiology, real-world oncology data analytics, and high-performance computing platforms like Databricks, Snowflake and Foundry, enabling work from clinical trials to large-scale RWD projects. Ryan’s PhD training in epidemiology complements hands-on software development, making him adept at turning complex biomedical models into actionable tools for stakeholders. He often bridges research and production, routinely packaging analyses for reproducible deployment and multi-language reuse.
7 years of coding experience
12 years of employment as a software developer
Bachelor of Science Cell & Molecular Biology, Bachelor of Science Cell & Molecular Biology at University of WashingtonCharles Wright AcademyMaster of Public Health Epidemiology, Master of Public Health Epidemiology at Emory UniversityDoctor of Philosophy (PhD) Epidemiology, Doctor of Philosophy (PhD) Epidemiology at McGill University
English, French, Spanish, Irish, Italian
Stackoverflow
36reputation
4kreached
1answer
0questions
Github Skills (24)
plotly-dash10
javascript10
deploying10
python10
r10
component-development10
cytoscapejs10
cytoscape10
cicd10
dashjs10
devops10
package-management9
plotly9
bioinformatics9
web-development8
Programming languages (11)
Github contributions (5)
plotly/dash
Nov 2018 - May 2021
Data Apps & Dashboards for Python. No JavaScript Required.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 releases, 13 reviews, 245 commits in 2 years 6 months
Contributions summary:Ryan contributed to the development of the `plotly/dash` repository, focusing on building R components. Their work involved adding support for generating NAMESPACE files and implementing R components for HTML elements, such as `Textarea` and `Video`. The user's contributions also included refactoring code for a generator method, suggesting a focus on automating component creation and improving the library's functionality across multiple programming languages.
pythonweb-appchartingflaskbioinformatics
plotly/dash-sample-apps
May 2019 - Sep 2020
Open-source demos hosted on Dash Gallery
Role in this project:Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:1 review, 47 commits, 59 PRs in 1 year 4 months
Contributions summary:Ryan primarily focused on setting up and maintaining the deployment infrastructure for the Dash applications within the `plotly/dash-sample-apps` repository. They modified the `predeploy.py` script to handle dependencies and file copying, particularly for R-based applications. Additionally, the user made changes to enable deployment, including modifying application routing and server configurations. The commits also address dependency management and application naming conventions.
dashhostedplotly-dashplotlydata-visualization
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