Kevin Keys
Professor at Udemy
Sierra Vista, Arizona, United States
Summary
👤
Senior🎓
Top SchoolKevin Keys is a professor and lifelong-learning advocate with 11 years of higher-education experience and a long career supporting military intelligence training and critical infrastructure protection. He designs and teaches courses on terrorism, workplace violence prevention, and strategic security while developing research-based methods to help others "learn how to learn" more effectively. His background spans classroom instruction, online course development for Udemy, and hands-on analytical roles with the US Army and defense contractors where he translated multidisciplinary risk analyses into actionable decisions. Kevin blends academic rigor with practical operational experience—an educator who draws on MASINT, all-source intelligence, and CIP expertise to make learning applicable to real-world threats. Based in Sierra Vista, Arizona, he also brings an unexpected genome science interest from his GitHub bio, signaling a curiosity that bridges security, research, and data-driven inquiry.
11 years of coding experience
16 years of employment as a software developer
Associate of Arts, General Studies, Associate of Arts, General Studies at University of PhoenixMasters in Public Administration, Homeland Security, Masters in Public Administration, Homeland Security at Wayland Baptist University
English, German
Stackoverflow
997reputation
73kreached
26answers
7questions
Github Skills (113)
testing10
genomics10
nf-core10
kallisto10
nextflow10
pipeline10
rna-seq10
science10
julia10
iterative10
sequencing10
pypi10
test-data10
greedy10
bioinformatics10
Programming languages (6)
Github contributions (5)
klkeys/gala2-ROH
Jun 2018 - Oct 2024
Computational pipeline for GALA II project analyzing runs of homozygosity
Contributions:34 pushes in 6 years 4 months
analyzingpipelinehomozygosityrunsbioinformatics
klkeys/IHT.jl
May 2015 - Aug 2018
A Julia module that implements the (normalized) iterative hard thresholding algorithm(IHT) of Blumensath and Davies. IHT performs feature selection akin to LASSO- or MCP-penalized regression using a greedy selection approach.
Contributions:6 releases, 138 commits, 2 PRs in 3 years 2 months
regressionnormalizedpenalized-regressionnaive-bayesapproach
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