David E
Staff Scientist at Center for Strategic and International Studies (CSIS)
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolDavid E is a Staff Scientist specializing in R&D for mathematical, statistical, and machine learning solutions to national security problems, with nine years of experience building production-ready ML models and scientific computing software in Python. He has held senior leadership roles including Chief Data Scientist and Principal/Lead Data Scientist across startups and defense-focused firms, and currently works at CrowdStrike. David combines deep applied expertise with practical engineering—sklearn, numpy, TensorFlow/Keras, xgboost and RL toolkits—and a track record of moving research into operational systems. A top-10 contributor on the Machine Learning & Statistics Stack Exchange with over 54,000 reputation, he is unusually skilled at explaining complex methods and translating theory into robust, auditable solutions. He holds an MS in Mathematics & Statistics from Georgetown and brings a unique international perspective from studies in Arabic and international studies.
9 years of coding experience
13 years of employment as a software developer
Master of Science - MS, Mathematics & Statistics, Master of Science - MS, Mathematics & Statistics at Georgetown UniversityBachelor of Arts - BA, International Studies, Bachelor of Arts - BA, International Studies at Emory UniversityArabic, Arabic at Al Akhawayn University
English, Arabic
Github Skills (27)
python10
statistics10
machine-learning10
deep-learning10
tensorflow10
data-science9
ml9
deep-neural-networks9
neural-network9
data-analysis9
scikit8
mnist-dataset8
scikit-learn8
theano7
stan7
Programming languages (4)
Github contributions (5)
Sycor4x/lipo
Feb 2018 - Sep 2018
Contributions:15 commits, 9 pushes, 1 branch in 6 months
Sycor4x/sgld-nrg
Sep 2021 - Oct 2021
Implements Stochastic gradient Langevin dynamics for energy-based models, as per https://arxiv.org/pdf/1912.03263.pdf
Contributions:6 PRs, 42 pushes, 5 branches in 1 month
arxivpdfstochasticdynamicsgradient
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