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Dr Sebastian Metz
Post-Doctoral Research Associate (Bioinformatics)

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Profile

Biography

Sebastian Metz graduated as a Licenciado in Bioinformatics at the Universidad Nacional de Entre Ríos (Argentina). He then completed his PhD in Molecular Biology and Biotechnology from the Universidad Nacional de San Martín  (Argentina), where he studied the genetic diversity, distribution and ecology of picoeukaryotes organisms using a combination of molecular biology, next-generation sequencing and bioinformatics approaches. After his PhD, spends a year studying the diversity and distribution of the Perkinsea taxonomic group at the European Institute for Marine Studies (France). In 2022, he got a BIENVENÜE fellowship (MSCA-COFUND fellowship program). He moved to the Station Biologique de Roscoff (France), where he spent one year working on the pathobiome and functional genomics of Perkinsus olseni, a parasite of bivalves.

In 2023, he joined the Department of Archaeology at the University of York to participate in the COMMIOS project, where he will work with ancient DNA to investigate the human genetic diversity and structure of the Iron Age population.

Research

Overview

Sebastian Metz is a bioinformatician specialising in using high-throughput sequencing to study the genetic diversity of a wide range of organisms. His PhD investigated the diversity of picoeukaryotes from freshwater environments. During his career, he contributed to many other projects related to the ecology, genetic diversity and distribution of microorganisms.

In his role with the COMMIOS project, Sebastian’s research will apply his knowledge in Bioinformatics and High-throughput sequencing to investigate the genetic diversity and structure of the population in Britain at local, regional, and macro-regional scales.

Projects

  • COMMIOS: In the COMMIOS project, Sebastian Metz will contribute to the analysis of ancient human DNA from the Iron Age to investigate the genetic diversity and structure of the population in Britain at local, regional, and macro-regional scales.