Jason Lubken
Data Science Manager & Principal Software Architect
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolJason Lubken is a Data Science Manager and Principal Software Architect with over a decade of experience building production-grade AI, ML, and data platforms for healthcare and cognitive science. Based in Philadelphia, he leads end-to-end pipelines, dev-ops automation, and reproducible research environments at Penn Medicine while mentoring engineering and data science teams. His work spans predictive healthcare, bioinformatics, serious games, and even brain-implant research, reflecting a rare blend of systems engineering and translational science. Jason is a primary contributor to the widely used open-source CHIME COVID-19 Hospital Impact Model, adding features to model mitigation timing for better policy planning. He has a strong track record of performance engineering—doubling HPC throughput without extra hardware—and designing storage and temporal data systems that delivered multi-hundred-to-thousand-fold efficiency gains. Practical, research-savvy, and detail-oriented, he thrives on turning complex science into reliable, auditable production software.
10 years of coding experience
15 years of employment as a software developer
BS Computer Science, BS Computer Science at University of Wyoming
Stackoverflow
56reputation
1kreached
1answer
0questions
Github Skills (11)
pandas10
python10
streamlit8
ecology8
vi8
covid-testing8
co8
altair8
psycopg6
postgresql6
r6
Programming languages (8)
Github contributions (5)
CodeForPhilly/chime
Mar 2020 - May 2020
COVID-19 Hospital Impact Model for Epidemics
Role in this project:
Back-end Developer
Back-end DeveloperContributions:34 releases, 152 commits, 125 PRs in 1 month
Contributions summary:Jason implemented functionality to prescribe a mitigation date, allowing users to set a date for social distancing measures to take effect within the COVID-19 Hospital Impact Model for Epidemics application. This involved modifications to the `SimSirModel` and `Parameters` classes to incorporate the new mitigation date parameter and its influence on the model's projections. Furthermore, the user updated the presentation layer to allow the date to be set within the application's user interface. These changes enable users to better model the effects of different social distancing measures.
pennhospitalepidemicsepidemiologycode-for-philly
pennsignals/chime
Mar 2020 - Sep 2021
COVID-19 Hospital Impact Model for Epidemics
Contributions:177 commits, 4 PRs, 3 pushes in 1 year 6 months
hospitalepidemics
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