Richard Darling
Applied Research Mathematician
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolRichard Darling is an applied research mathematician with over two decades at the U.S. government (GS-14) after a 15-year academic career, specializing in scalable decision algorithms for large labeled graphs and tunable stochastic models for complex networks. He combines deep theoretical training (PhD Warwick, MSc Manchester, First Class Cambridge) with practical research in graph analytics, exploratory unsupervised learning, and probabilistic models that extend into cryptanalytic and number-theoretic algorithms. At NSA he produces internal publications, mentors interns, organizes seminars, and routinely translates advanced probabilistic methods into efficient simulation and optimization tools for large-scale data. His profile blends classical mathematical rigor with hands-on algorithm engineering for real-world, high-stakes problems, and he maintains a public record of scholarly work at probabilist.us.
9 years of coding experience
3 years of employment as a software developer
Master of Science (M.Sc.), Mathematical Statistics and Probability, Master of Science (M.Sc.), Mathematical Statistics and Probability at The University of ManchesterBachelor's Degree, Mathematics, First Class Honours, Bachelor's Degree, Mathematics, First Class Honours at University of CambridgeDoctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at University of WarwickHigh School, Science, Mathematics, Classics, High School, Science, Mathematics, Classics at Winchester College
French, Spanish
Github Skills (16)
simulation-modeling10
timing10
simulate10
sampling10
quantile10
probabilistic-models10
graph-datastructures9
jgrapht9
gamma9
risk-analysis9
graph-algorithms9
data-structures8
graph-theory8
java8
waypoint5
Programming languages (1)
Github contributions (5)
NationalSecurityAgency/fractalrabbit
Apr 2018 - Jul 2020
Simulate realistic trajectory data seen through sporadic reporting
Contributions:30 commits, 2 PRs, 24 pushes in 2 years 3 months
reportingsimulation-modelingquantilerealisticrisk-analysis
probabilist-us/contact-rabbit
Jun 2020 - Jun 2024
Simulated waypoint data for multiple mobile devices are used to simulate infections in an epidemic
Contributions:18 pushes, 1 branch in 4 years
infectionsepidemicwaypointsimulate
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