Summary
Tobias Andermann is an assistant professor and computational biologist at Uppsala University with 11 years of experience applying machine learning, eDNA, remote sensing and big data to quantify biodiversity and inform conservation policy. He leads the Biodiversity Lab, focusing on developing neural-network methods and computational frameworks to translate complex ecological systems into actionable biodiversity metrics. His work bridges evolutionary biology (PhD, University of Gothenburg) and scalable bioinformatics, aiming to produce tools policymakers can use to evaluate conservation outcomes. Colleagues describe him as driven by the urgent practical need to measure biodiversity objectively, and he blends deep academic training with hands-on tool development to tackle that challenge.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Evolutionary Biology, Doctor of Philosophy - PhD, Evolutionary Biology at University of Gothenburg
English, German, Swedish