Tobias Andermann
Biträdande universitetslektor vid Institutionen för organismbiologi; Systematisk biologi
- Telefon:
- 018-471 64 79
- Mobiltelefon:
- 070-167 93 16
- E-post:
- tobias.andermann@ebc.uu.se
- Besöksadress:
- Evolutionsbiologiskt centrum, Norbyv. 18D
75236 Uppsala - Postadress:
- Norbyv. 18D
75236 Uppsala
- CV:
- Ladda ned CV
Nyckelord
- machine learning
- biodiversity
- remote sensing
- metabarcoding
- computational biology
- environmental dna
- biodiversity assessments
- biodiversity indicators
- data-driven life science
Media
Lab webpage
See our lab webpage for more information.

Publikationer
Senaste publikationer
Ingår i Ecological Informatics, 2025
- DOI för Estimating national Red List statuses for fungi in Sweden: An improved deep learning approach to account for unbalanced data
- Ladda ner fulltext (pdf) av Estimating national Red List statuses for fungi in Sweden: An improved deep learning approach to account for unbalanced data
Ingår i Ecological Monographs, 2025
- DOI för Advancing transdisciplinary research on Madagascar's grassy biomes to support resilience in ecosystems and livelihoods
- Ladda ner fulltext (pdf) av Advancing transdisciplinary research on Madagascar's grassy biomes to support resilience in ecosystems and livelihoods
Ingår i Ecological Informatics, 2025
- DOI för The utility of combining deep learning with metabarcoding to model biodiversity dynamics at a national scale
- Ladda ner fulltext (pdf) av The utility of combining deep learning with metabarcoding to model biodiversity dynamics at a national scale
A Phylogenomic Analysis of Genipa (Rubiaceae) Using Target Sequence Capture Data
Ingår i Systematic Botany, s. 617-625, 2024
Ingår i Molecular Ecology, 2024
- DOI för Exploring Paleogene Tibet's warm temperate environments through target enrichment and phylogenetic niche modelling of Himalayan spiny frogs (Paini, Dicroglossidae)
- Ladda ner fulltext (pdf) av Exploring Paleogene Tibet's warm temperate environments through target enrichment and phylogenetic niche modelling of Himalayan spiny frogs (Paini, Dicroglossidae)
Alla publikationer
Artiklar i tidskrift
Ingår i Ecological Informatics, 2025
- DOI för Estimating national Red List statuses for fungi in Sweden: An improved deep learning approach to account for unbalanced data
- Ladda ner fulltext (pdf) av Estimating national Red List statuses for fungi in Sweden: An improved deep learning approach to account for unbalanced data
Ingår i Ecological Informatics, 2025
- DOI för The utility of combining deep learning with metabarcoding to model biodiversity dynamics at a national scale
- Ladda ner fulltext (pdf) av The utility of combining deep learning with metabarcoding to model biodiversity dynamics at a national scale
A Phylogenomic Analysis of Genipa (Rubiaceae) Using Target Sequence Capture Data
Ingår i Systematic Botany, s. 617-625, 2024
Ingår i Molecular Ecology, 2024
- DOI för Exploring Paleogene Tibet's warm temperate environments through target enrichment and phylogenetic niche modelling of Himalayan spiny frogs (Paini, Dicroglossidae)
- Ladda ner fulltext (pdf) av Exploring Paleogene Tibet's warm temperate environments through target enrichment and phylogenetic niche modelling of Himalayan spiny frogs (Paini, Dicroglossidae)
Ingår i Molecular Phylogenetics and Evolution, 2024
Undiscovered bird extinctions obscure the true magnitude of human-driven extinction waves
Ingår i Nature Communications, 2023
- DOI för Undiscovered bird extinctions obscure the true magnitude of human-driven extinction waves
- Ladda ner fulltext (pdf) av Undiscovered bird extinctions obscure the true magnitude of human-driven extinction waves
The origin and evolution of open habitats in North America inferred by Bayesian deep learning models
Ingår i Nature Communications, 2022
- DOI för The origin and evolution of open habitats in North America inferred by Bayesian deep learning models
- Ladda ner fulltext (pdf) av The origin and evolution of open habitats in North America inferred by Bayesian deep learning models
Madagascar's extraordinary biodiversity: Evolution, distribution, and use
Ingår i Science, s. 962-+, 2022
Madagascar's extraordinary biodiversity: Threats and opportunities
Ingår i Science, s. 963-+, 2022
Artiklar, forskningsöversikt
Ingår i Ecological Monographs, 2025
- DOI för Advancing transdisciplinary research on Madagascar's grassy biomes to support resilience in ecosystems and livelihoods
- Ladda ner fulltext (pdf) av Advancing transdisciplinary research on Madagascar's grassy biomes to support resilience in ecosystems and livelihoods