Vortrag von Päivi Onkamo
Uhrzeit: 11:00 - 12:30
Vortragender: Päivi Onkamo
University of Helsinki
Department of Biosciences
Ort: MPI SHH Jena
Raum: Villa V14
Gastgeber: Abteilung Archäogenetik
"The project on ancient Finno-Ugrians"
Finno-Ugric languages speaking people include Finns, Estonians,
Hungarians, and a number of smaller, fragmented language
communities in current Russia, such as Mari, Mordvin, Veps, Komi,
Khanty etc. The origin and closest relatives of the language
family are unclear - as well as the prehistory of the people.
Before Slavic expansion, e.g. 1000 AD, the Finno-Ugric speakers
used to occupy the whole North-Eastern Europe. Archeologically,
there has been settlement in the region since the last Ice Age.
When - and with which archeological culture - did the Finno-Ugric
people or language spread? Who were living there before them? How
does the arrival of "Finno-Ugric genome", if such exists, fit with
the evolution and dispersion of the Finno-Ugric language family on
the one hand, and with the archaeological material on the other?
A short cv:
Dr. Päivi Onkamo (PhD, adjunct professor) holds a permanent
position as University lecturer in Genetic Bioinformatics in the
Department of Biosciences, University of Helsinki. She leads the
project "Ancient Fenno-Ugrian Genome" (funded by Kone and Erkko
Foundations, 2016->) and previously a related project "Finnish
population history – an archeological and population genetic
approach". Her latest publications involve population genetics of
Finns, event reconstruction through Bayesian chronology in
multidisciplinary setting (integrating archeological, radiocarbon
dating and ecological data in interpreting ancient phenomena), and
simulations and spatiotemporal modelling as tools to understand
the spread and numbers of ancient people.
She has long previous experience from gene mapping as well as
multidisciplinary projects (including genetics, statistics and
computer science) starting already from late 90’s, yielding
currently to 56 publications. Her own fields of expertize are
genetics and bioinformatics.