Madi (Maede) Faghihinia

Wet-lab and computational microbiome scientist with a PhD in Environmental Sciences, specializing in plant–soil–microbe interactions across agricultural and grassland ecosystems. Experienced in designing greenhouse and large-scale field experiments and applying stable isotope approaches, high-throughput sequencing (Illumina, Oxford Nanopore), machine learning, and advanced data analyses to study nutrient cycling, plant nutrient uptake, and health.