Jonathan Owen
Global AI Data Science Leader
Minneapolis, Minnesota, United States
Summary
👤
Senior🎓
Top SchoolJonathan Owen is a Global AI Data Science Leader with 11 years of experience translating machine learning and analytics into production tools that materially improve investment research, portfolio management, and trading. He leads a global team at Columbia Threadneedle that has delivered GenAI agents, an AI assistant used by 600+ investment professionals, and a reusable framework for rapidly evaluating and deploying foundation models. Jonathan’s background spans hands-on quant trading and structured-product experience through to building cloud-native data science platforms, giving him rare fluency across research, engineering, and front-office workflows. An active contributor to open-source visualization projects, he has enhanced D3 and R-based charting libraries to improve interactive analytics and usability. Trained in chemical engineering and financial mathematics, he combines rigorous quantitative foundations with product-focused delivery at scale.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BS, Chemical Engineering, Bachelor of Science - BS, Chemical Engineering at University of Wisconsin-MadisonUniversity of Minnesota Twin Cities
Github Skills (11)
data-visualizations10
shiny10
javascript10
data-visualization10
data-visualisation10
d3js10
r10
dropdown8
r-stats7
autocomplete7
rs7
Programming languages (15)
Github contributions (5)
jrowen/rhandsontable
Mar 2015 - Feb 2020
A htmlwidgets implementation of Handsontable.js
Role in this project:
Front-end Developer
Front-end DeveloperContributions:12 releases, 456 commits, 48 PRs in 4 years 11 months
Contributions summary:Jonathan primarily contributed to the development of the Shiny example within the rhandsontable repository. Their work involved fixing the shiny example and adding further examples that showcase integration with other libraries. The user appears to be focused on the integration of rhandsontable with Shiny and incorporating the Handsontable feature-set.
reacthtmlwidgetshandsontablesparklinejavascript
christophergandrud/networkD3
Jul 2015 - Aug 2015
D3 JavaScript Network Graphs from R
Role in this project:Front-end Developer
Front-end DeveloperContributions:35 commits, 5 PRs, 24 comments in 1 month
Contributions summary:Jonathan primarily contributed to the front-end of the project, focusing on implementing and modifying JavaScript code for interactive network graphs. They introduced new features such as the "clusterNetwork" visualization. The user also made code adjustments for zoom, text rotation, and link types, indicating a focus on enhancing user interaction and visual presentation. The work appears to involve creating interactive data visualizations using D3.js.
social-network-analysisjavascriptigraphnetwork-visualizationgraphs
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