John Asplund
Principle Research Engineer I at Scientific Systems
Reston, Virginia, United States
Summary
👤
Senior🎓
Top SchoolJohn Asplund is a principal research engineer with eight years of experience applying advanced mathematics, machine learning, and algorithm development to national security and public-policy problems. He has led reinforcement learning and Monte Carlo approaches for autonomy and chaos engineering, boosted predictor performance through feature curation, and translated dynamic knowledge graphs into actionable decision aids for mission partners. His career spans industry and academia—from leading research at Scientific Systems and Metron to informing COVID-19 policy simulations at Georgia Tech and teaching mathematics—yielding over 30 peer-reviewed publications and successful grant-funded projects. Equally comfortable coding in Python and Java, he has delivered production interfaces that doubled simulation throughput and authored winning proposals as a principal investigator. Notably, his background in pure mathematics (Ph.D. work) underpins a rare combination of theoretical rigor and practical engineering that drives measurable operational impact.
8 years of coding experience
9 years of employment as a software developer
Bachelors, Mathematics, Bachelors, Mathematics at Michigan Technological UniversityMaster's degree, Analytics, Master's degree, Analytics at Georgia Institute of TechnologyDoctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at Auburn University
English
Github Skills (2)
spread2
deep-learning1
Programming languages (1)
Github contributions (5)
cecilartavion/Random_State_Generator
Sep 2019 - Jan 2020
Contributions:97 pushes, 1 branch in 4 months
pkeskinocak/COVID19GA
Apr 2020 - Apr 2020
The Impact of Social Distancing on COVID19 Spread: State of Georgia Case Study
Contributions:16 commits in 1 day
deep-learninggeorgiasocial-distancingdistancingspread
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