Tobias Andermann

Tobias Andermann is a DDLS Fellow and Principal Investigator at Uppsala University's Evolutionary Biology Centre (EBC), affiliated with SciLifeLab. His research develops quantifiable biodiversity metrics to address the global biodiversity crisis through environmental DNA (eDNA) sampling and machine learning integration.

His work focuses on Biodiversity, Bioinformatics, and Environmental DNA analysis, with expertise in Machine Learning, Remote Sensing, and Spatial Analysis. He pioneers eDNA protocols to reconstruct species diversity across the tree of life—particularly for fungi, insects, and protists—using satellite imagery and airborne laser-scan data to model biodiversity patterns.

Publications reveal a strong emphasis on deep learning applications for biodiversity assessment, including extinction risk modeling (IUCNN), habitat evolution analysis, and human impact quantification on mammalian diversity. His work bridges computational methods with ecological data to create actionable conservation metrics.

Scientific awards:

• DDLS Fellowship

As Principal Investigator, Andermann mentors PhD students Adrian Baggström and Monica Guilera Recoder, and Master's student Mirjam Lichtner. His research receives primary support from SciLifeLab's Digital and Data-Driven Science program, enabling collaborations with taxonomic experts for comprehensive eDNA analysis.

His research group at the Evolutionary Biology Centre builds biodiversity databases by integrating eDNA samples with biotic/abiotic predictors, developing machine learning models to predict species distributions and extinction risks while addressing overlooked taxonomic groups through specialized lab protocols.