Maximilian Borgmann

- Development of micropropagation and meristem culture protocols for clonal plant systems - Design of SNP-based genotype identification and validation pipelines - Implementation of genomic conservation strategies for plant germplasm - Integration of molecular diagnostics into applied production workflows - Applied R&D in controlled cultivation and experimental plant systems

- Haplotype construction in a target genomic region using high-density SNP array and whole-genome sequencing data - Variant calling and functional annotation of WGS datasets - Read depth–based structural variant assessment - Integration of skim sequencing and high-coverage WGS data - Statistical association analysis of genotypic and phenotypic datasets (ANOVA, BLUEs) - Data processing and visualization in R on HPC infrastructure

- Design of controlled cultivation systems under GMP conditions - Development of standardized propagation workflows - Establishment of meristem and nodal culture protocols - Integration of experimental data into cultivation optimization strategies

Specialization in plant genomics and quantitative genetics with focus on molecular breeding and population genomics. Master thesis on comparative genomics and in silico functional analysis of candidate genes: genome assembly polishing, SNP calling, ortholog identification, protein structure prediction (AlphaFold), and HPC-based data analysis in R.

B.Sc. in Agricultural and Horticultural Sciences with focus on plant production, plant physiology and sustainable cropping systems. Solid training in applied statistics (1.0), plant breeding and phytopathology. Bachelor thesis (1.0): Analysis of production challenges in medical cannabis systems based on expert survey data.