Summary
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.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Bioinformatics and so much more, Doctor of Philosophy - PhD, Bioinformatics and so much more at Aalborg University
Master of Science (MSc), Biotechnology, Master of Science (MSc), Biotechnology at Aalborg Universitet