David Dooling
RF Data Analyst
Albuquerque-Santa Fe Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolDavid Dooling is an RF data analyst and former physicist with 13+ years applying advanced quantitative methods to national security, healthcare, and commercial data problems. Trained as a theoretical particle physicist (PhD, Brown) and a former Los Alamos technical staff member, he translates complex physics and big-data literatures into actionable intelligence and machine-learning solutions. He has led data-science efforts from senior analytic roles at the Institute for Physical Sciences to principal data scientist at RS21, and built predictive models for oncology using SEER–Medicare linked data. Comfortable working at the intersection of domain expertise and engineering, he blends deep modeling rigor with practical deployment experience in government and private sectors. Based in the Albuquerque–Santa Fe area, he brings a track record of turning high-dimensional scientific problems into decision-ready products.
13 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Theoretical Particle Physics, Doctor of Philosophy (Ph.D.), Theoretical Particle Physics at Brown UniversityBachelor's Degree, Physics major, Math concentration, Bachelor's Degree, Physics major, Math concentration at Columbia University
Github Skills (200)
javascript-client10
ecosystem10
nodejs10
package-manager10
assemble10
controller10
coredns10
ruby10
external-dns10
kubernetes10
aws-route5310
buildkit10
ingress-controller10
ingress10
nginx10
Programming languages (15)
Github contributions (5)
atomist-recycling/spring-boot-hazelcast-server
Dec 2016 - Jun 2018
Contributions:2 releases, 2 PRs, 7 pushes in 1 year 6 months
spring-boothazelcastatomistspringjava
atomist/sdm-base
Mar 2019 - Feb 2021
Base Docker image for Software Delivery Machines
Contributions:1 release, 14 pushes, 3 branches in 1 year 10 months
docker-imagemachinesdockerdocker-base-imagesoftware-delivery
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