Daniel Lakeland
Founder And Research Analyst at Lakeland Applied Sciences LLC
Pasadena, California, United States
Summary
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Senior🎓
Top SchoolDaniel Lakeland is the founder and principal research analyst at Lakeland Applied Sciences with a decade of experience turning multidisciplinary science into practical decision support for industry, infrastructure, and legal contexts. Trained as a PhD civil engineer with dual BS degrees in civil engineering and mathematics, he blends continuum modeling, Bayesian statistics, and dynamical systems to predict outcomes and manage uncertainty across domains from soil liquefaction and building forensics to bioinformatics and financial risk. Equally comfortable in R and Julia and a long-time Debian advocate, he builds reproducible models and data pipelines that integrate experimental design, economic valuation, and risk analysis. Clients benefit from his ability to distill complex physical processes into actionable models—an approach informed by hands-on field investigations and years of academic research.
10 years of coding experience
Doctor of Philosophy (PhD), Civil Engineering, Doctor of Philosophy (PhD), Civil Engineering at University of Southern CaliforniaBS, Civil Engineering, BS, Civil Engineering at University of California, DavisBS, Mathematics, BS, Mathematics at Iowa State University
Stackoverflow
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Github Skills (167)
julia10
r-package10
jupyterlab10
linux9
database9
jupyter-widget9
science9
stan9
programming-language9
bayesian-data-analysis9
bayesian-inference9
mikrotik9
bayesian-statistics9
iptables9
machine-learning9
Programming languages (11)
Github contributions (5)
dlakelan/JuliaDataTutorials
Jun 2020 - Feb 2022
Contributions:19 commits, 16 pushes, 1 branch in 1 year 8 months
dlakelan/OpenWrtNFTables
Nov 2021 - Nov 2021
An NFTables firewall for OpenWrt with DSCP tagging
Contributions:23 commits, 21 pushes, 1 branch in 12 days
ltefirewall-rulesnftablesesxiopenwrt
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