profile

Dr Carolin Kosiol:
Lecturer

Dr Carolin Kosiol

Dr Carolin Kosiol
Dyers Brae
University of St Andrews
St Andrews
KY16 9TH
Fife
UK

tel: 01334 463598
fax: 01334 463366
room: 3
email: ck202@st-andrews.ac.uk

Related Content:


https://synergy.st-andrews.ac.uk/genomemoleculardating/

School of Biology
Biology Postgraduate Recruitment Committee
Centre for Biological Diversity

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Carolin Kosiol is a Lecturer in Bioinformatics. She works on problems at the intersection of computer science, maths and evolutionary biology. In particular, she wants to understand how natural selection has shaped the genomes of great apes and how fruit flies can adapt to enviromental changes in a few dozen generations. Carolin has studied maths and physics at the University of Mainz in Germany, before doing a Masters in High Performance Computing (MSc, University of Dublin, Trinity College) and attending graduate school in Bioinformatics (PhD, University of Cambridge and EMBL- European Bioinformatics Institute). She did a short postdoc at Cornell University during which she got involved in Genome Analysis Consortia. As a Young Group Leader at the Institute of Population Genetics (Vetmeduni Vienna) she has developed methods that combine phylogenetic and population genetic models.

Carolin’s research focuses on the development of computational methods to investigate adaptation at different time-scales ranging from a few generations in experimental evolution data to studies of population demography to phylogenetic analysis of multiple species. Genomes sequences, both from closely related species and from individuals of the same species, are increasingly available. These large amounts of data offer a great opportunity to study speciation and the evolutionary history of populations, provided they can properly model the process of evolution within and between species simultaneously. Together with her group, Carolin has recently developed evolutionary models that bridge the gap between phylogeny and population genetics by taking polymorphism as well as species data into account. She very much enjoys working with experimentalists on genomic data sets that pose ever new challenges to models.

 



My work focuses on the development of computational methods to the investigate the process of adaptation at different time-scales ranging from a few generations in experimental evolution data to phylogenetic analysis of multiple species diverged millions of years ago. In particular, we are interested in DNA sequence evolution by mutation and shifts of allele frequencies.

source: symbiosis


Recent Publications:

5 (of 19 /dk/atira/pure/researchoutput/status/published available) for ck202 (source: University of St Andrews PURE)
Please click title of any item for full details

Consistency and identifiability of the polymorphism-aware phylogenetic models Rui Borges, Carolin Kosiol
Journal of Theoretical Biology 2020 vol. 486 pp. 1-6
Polymorphism-aware species trees with advanced mutation models, bootstrap and rate heterogeneity Dominik Schrempf, Bui Quang Minh, Arndt von Haeseler, Carolin Kosiol
Molecular Biology and Evolution 2019 vol. 36 pp. 1294-1301
Quantifying GC-biased gene conversion in great ape genomes using polymorphism-aware models Rui Borges, Gergely Szöllősi, Carolin Kosiol
Genetics 2019 vol. 212 pp. 1321-1336
The comparative genomics and complex population history of Papio baboons Jeffrey Rogers, Muthuswamy Raveendran, R. Alan Harris, Thomas Mailund, Kalle Leppälä, Georgios Athanasiadis, Mikkel Heide Schierup, Jade Cheng, Kasper Munch, Jerilyn A. Walker, Miriam K. Konkel, Vallmer Jordan, Cody J. Steely, Thomas O. Beckstrom, Christina Bergey, Andrew Burrell, Dominik Schrempf, Angela Noll, Maximillian Kothe, Gisela H. Kopp, Yue Liu, Shwetha Murali, Konstantinos Billis, Fergal J. Martin, Matthieu Muffato, Laura Cox, James Else, Todd Disotell, Donna M. Muzny, Jane Phillips-conroy, Bronwen Aken, Evan E. Eichler, Tomas Marques-bonet, Carolin Kosiol, Mark A. Batzer, Matthew W. Hahn, Jenny Tung, Dietmar Zinner, Christian Roos, Clifford J. Jolly, Richard A. Gibbs, Kim C. Worley
Science Advances 2019 vol. 5
Inference in population genetics using forward and backward, discrete and continuous time processes Juraj Bergman, Dominik Schrempf, Carolin Kosiol, Claus Vogl
Journal of Theoretical Biology 2018 vol. 439 pp. 166-180