Professor Alfried P. Vogler, Natural History Museum and Imperial College, UK.
Alfried is a molecular systematist with a background working on the phylogeny and evolution of species diversity in insects. His specific interest is the order Coleoptera (beetles), the arguably largest radiation of animal species on Earth, which he uses as a model for an evolutionary understanding of the great diversity of living organisms. He applies genomics and phylogenetic analysis, working at all hierarchical levels, from populations to basal relationships of insect orders. His research group developed the technique of mitochondrial metagenomics, and is a leader in the field of community metabarcoding.
WEBSITE
Professor Alfried P. Vogler, Natural History Museum and Imperial College, UK.
Alfried is a molecular systematist with a background working on the phylogeny and evolution of species diversity in insects. His specific interest is the order Coleoptera (beetles), the arguably largest radiation of animal species on Earth, which he uses as a model for an evolutionary understanding of the great diversity of living organisms. He applies genomics and phylogenetic analysis, working at all hierarchical levels, from populations to basal relationships of insect orders. His research group developed the technique of mitochondrial metagenomics, and is a leader in the field of community metabarcoding.
WEBSITE
Dr Thomas J. Creedy, Natural History Museum, UK
Thomas is a molecular ecologist with a background in tropical forest arthropod ecology, working on biodiversity surveys and community ecology. He is interested in uncovering drivers of local-scale ecological patterns in complex environments and developing methods for studying highly-diverse communities. One current focus is on developing and streamlining bioinformatic pipelines for efficient and accurate community metabarcoding.
WEBSITE
Thomas is a molecular ecologist with a background in tropical forest arthropod ecology, working on biodiversity surveys and community ecology. He is interested in uncovering drivers of local-scale ecological patterns in complex environments and developing methods for studying highly-diverse communities. One current focus is on developing and streamlining bioinformatic pipelines for efficient and accurate community metabarcoding.
WEBSITE
