Kasper Andersen

HPC And Data Science Specialist (staff Scientist)

Aalborg, North Denmark Region
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Summary

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Senior
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Top School
Kasper Andersen is an HPC and data science specialist with a PhD in bioinformatics and nine years of experience building and operating large-scale scientific computing environments and analytics for DNA sequencing data. He has run a 3800-CPU, 2PB-storage supercomputer from initial setup through SLURM scheduling, software stacks and user support, while also developing reproducible containerized workflows and Shiny/Dash frontends for non-expert users. His research blends multivariate statistics, machine learning and graph neural networks to predict microbial community dynamics, and he has contributed practical open-source R packages (ampvis2, mmgenome2) used for large-scale microbiome surveys. Equally comfortable as a Linux sysadmin and an applied data scientist, he helped sequence and track SARS-CoV-2 across Denmark during the pandemic—demonstrating the ability to move fast on high-impact, real-world problems.
code9 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD, Bioinformatics and so much more, Doctor of Philosophy - PhD, Bioinformatics and so much more at Aalborg University
bookMaster of Science (MSc), Biotechnology, Master of Science (MSc), Biotechnology at Aalborg Universitet
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Github Skills (173)

package-management10
genomes10
bioconductor10
static-html10
genomics10
ssh10
shiny10
data-visualization10
rbac10
database-access10
r-package10
audit10
conda10
certificate10
sequencing10

Programming languages (15)

JavaCSSC++RustTeXGoPerlHTML

Github contributions (5)

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KasperSkytte/ampvis2

May 2017 - Jan 2023

Tools for visualising microbial community amplicon data
Contributions:46 releases, 630 commits, 32 PRs in 5 years 9 months
amplicondata-visualizationvisualizationamplicon-sequencingmicrobial-ecology
Contributions:41 commits, 35 pushes, 1 branch in 3 years
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