Salmonid genomics, bioinformatics and AI tools

Tim Martin Knutsen

Senior scientist at AquaGen AS, Trondheim.

My work sits where salmonid genomics and bioinformatics meet breeding decisions. I am also interested in image-based phenotyping and AI tools for coding, analysis and writing.

Portrait of Tim Martin Knutsen
Photo: AquaGen, via NMBU

Research

Here are some of the topics I spend most time on:

Salmonid genomics.

Genetic variation, disease resistance, robustness, and genomic data that can support breeding in Atlantic salmon and rainbow trout.

Bioinformatics.

Reproducible analysis, data handling, automation, and workflows that are transparent enough to reuse.

Computer vision.

Image-based phenotyping and methods for extracting useful biological information from images and video.

AI tools.

LLMs, Codex, Claude Code and agents for coding, analysis, writing and technical work.

PhD Thesis

Genomics of bovine milk fat composition. Doctoral thesis, Norwegian University of Life Sciences, 2018. Series: PhD Thesis;2018:19.

The thesis examined mutations affecting fatty acid composition in Norwegian Red cattle milk, with emphasis on de novo synthesized fatty acids and the major milk fatty acids palmitic acid and oleic acid.

Selected Publications

Code