John Lombard
Director Of Enterprise Data Science
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJohn Lombard is a Director of Enterprise Data Science at USAA with 11 years of experience translating theoretical physics, mathematics, and engineering into production ML/AI that drives measurable operational value. He leads cross-functional teams to design responsible, explainable models and rapid simulation-based optimization—authored multiple patents and launched a multi-patent pandemic-era simulation that materially influenced company strategy. A specialist in stochastic and combinatorial optimization, he builds custom high-performance Python solvers for time-dependent, constrained routing and business-continuity problems. He also teaches and conducts research at the University of Washington, blending academic rigor with hands-on engineering instincts honed in experimental physics and mechanical design. Based in Seattle, he pairs deep technical breadth with practical program leadership, budget stewardship, and an appetite for creative problem framing (and he’s a pretty good chef).
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Theoretical and Mathematical Physics, Doctor of Philosophy (PhD), Theoretical and Mathematical Physics at University of WashingtonBachelor of Arts (B.A.), Physics and Mathematics, Cum Laude, Bachelor of Arts (B.A.), Physics and Mathematics, Cum Laude at Cornell University
American Sign Language, English
Github Skills (20)
aplayer9
editing9
pls8
pulse7
media-library7
music7
android5
editor5
nightwatch5
text-editor5
nextcloud4
owncloud4
rhythmbox2
machine-learning1
spring1
Programming languages (3)
Github contributions (5)
jlombs/Deep_LRC_Estimator
Oct 2017 - Apr 2019
Contributions:1 push, 1 branch, 1 comment in 1 year 5 months
jlombs/Combinatorial_Hives
Oct 2017 - Jun 2018
Contributions:1 push, 1 branch in 7 months
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