Computing Kitchen

Everyday computational science

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Project maintained by adolgert Hosted on GitHub Pages — Theme by mattgraham

Andrew Dolgert

Computational scientist / software architect

• Google scholar profile
• Curriculum vitae
• Blog and an older blog
• Github

• Stochastic processes and simulation
• Continuous-time paper
• Discrete stochastic models in continuous time for ecology
• Simulation of Gene Drives
• Simulation of farm-to-farm infection process for the USDA
• Simulation of a cattle feedlot for the USDA
• C++ framework
• Python framework
• Julia framework
• Provenance
• Provenance in High Energy Physics paper
• Python tools
• R tools
• Provenance prototype for process-level recording using logstash and elastic search
• Big data forecasting, demography, time series
• Estimation of spatial population on simplices
• Demography from gridded population surfaces
• Global estimation of a compartmental model of mortality
• Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories
• Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: a forecasting analysis for the Global Burden of Disease Study
• Distributed, parallel, high-performance computing
• Digital Material: a flexible atomistic simulation code
• Fracture Mechanics on the Intel R ItaniumTM Architecture (A Case Study)
• Texas Advanced Computing Center User Guides - Most of my NSF-funded training materials became part of these
• Maximizing Computational Learning for Faculty and Student Scientists: The Ranger Virtual Workshop