Felix SeifertTechnical Lead for Agrigenomics
Areas of expertise
- Machine Learning
- Genome wide association study / GWAS
- Quantitative trait loci analysis / QTL
- Gene identification
- Genomic prediction/selection
Felix brings more than a decade of experience in a wide range of computational approaches applied to support plant molecular biology and breeding. During his PhD at the University of Hamburg, he specialized in various omics techniques, such as, genomics, epigenomics, transcriptomics and metabolomics. He created moreover a prediction approach for heterosis based on small RNAs, which was successfully patented. After postdoctoral studies, Felix started his own business and became a bioinformatics consultant to a number of plant breeding companies and research institutes.
As a technical leader for agrigenomics at BISC Global, Felix combines his expertise in the analysis of large-scale and multi-omics datasets with the development and deployment of software tools, robust and reproducible analysis pipelines, and databases. With this impressive skill set and knowledge, he supports bioinformatics and machine learning projects of our customers in the plant breeding and agricultural domain.
“What I really like about bioinformatics and agrigenomics in particular is, that no project is like the other. You always have to adapt to datasets of various sizes, depending on an organism – ranging from tiny bacterial to huge crop genomes, as well as the genetic complexity of analyzed traits. Even if you work with quite similar computational methods, you always have to carefully consider how to best adapt to these different cases. It is challenging and fun!”
When not working on another agrigenomics platform, Felix is out with his family, canoeing around remote islands, pitching a tent, cooking on a fire, and simply enjoying the wilderness.