Summary
Christian Brinch is an Associate Professor at the Technical University of Denmark with 14 years of interdisciplinary research and engineering experience spanning epidemiological modeling, metagenomics, and antimicrobial resistance. He combines deep computational skills—Python, C/C++, Fortran, parallel computing and cloud architectures—with domain expertise in compositional analysis and probabilistic bioinformatics to translate genomic signals into public-health insight. His work has informed national COVID-19 monitoring and he actively promotes compositional methods for more robust genomic inference. Trained as an astronomer (PhD, Leiden), he brings a rare background in scientific computing for radiative transfer and hydrodynamics into biological data challenges, enabling novel inverse and stochastic optimization approaches to big-data problems.
14 years of coding experience
4 years of employment as a software developer
Ph.D., Astronomy, Ph.D., Astronomy at Leiden University
M.Sc, Astronomy, Physics, M.Sc, Astronomy, Physics at Københavns Universitet - University of Copenhagen
Japanese, English, Dutch, German, Danish