Dr Martin Stoffel: PhD Student 2015-19
Martin passed his PhD viva with no corrections in February 2019 and has a Postdoctoral Fellowship at the University of Edinburgh, working with Prof Josephine Pemberton.
Martin was a Dual PhD Student co-supervised by Dr Hazel Nichols (LJMU) and Dr Joseph Hoffman (University of Bielefeld).
I am combining state-of-the-art methods in chemical ecology, genetics and data analysis to investigate the influence of genetic diversity and inbreeding on phenotypic traits in a variety of organisms ranging from marine mammals to birds and rodents. In particular, I´m using high throughput sequencing such as RADseq in combination with gas chromatography-mass spectrometry to study the link between genetics, microbial communities and chemical fingerprints in natural vertebrate populations.
An important aspect of my work is R programming. Ecology is evolving rapidly and is changing towards a more open and data-intense science. The increasing complexity of both problems and methods in ecology also requires a change in terms of transparency and reproducibility of analyses. Therefore, I am interested in developing methods and packages in R. Together with Mareike Esser, Joe Hoffman and Patrice David, I´m currently working on inbreedR, an R package that provides a framework for the analysis of inbreeding and HFCs based on genetic marker data, such as SNPs and microsatellites. With Holger Schielzeth and Shinichi Nakagawa I am also working on the revision of rptR, which provides methods for repeatability estimation with gaussian and non-gaussian data.
Martin was a Dual PhD Student co-supervised by Dr Hazel Nichols (LJMU) and Dr Joseph Hoffman (University of Bielefeld).
I am combining state-of-the-art methods in chemical ecology, genetics and data analysis to investigate the influence of genetic diversity and inbreeding on phenotypic traits in a variety of organisms ranging from marine mammals to birds and rodents. In particular, I´m using high throughput sequencing such as RADseq in combination with gas chromatography-mass spectrometry to study the link between genetics, microbial communities and chemical fingerprints in natural vertebrate populations.
An important aspect of my work is R programming. Ecology is evolving rapidly and is changing towards a more open and data-intense science. The increasing complexity of both problems and methods in ecology also requires a change in terms of transparency and reproducibility of analyses. Therefore, I am interested in developing methods and packages in R. Together with Mareike Esser, Joe Hoffman and Patrice David, I´m currently working on inbreedR, an R package that provides a framework for the analysis of inbreeding and HFCs based on genetic marker data, such as SNPs and microsatellites. With Holger Schielzeth and Shinichi Nakagawa I am also working on the revision of rptR, which provides methods for repeatability estimation with gaussian and non-gaussian data.