Department of Evolutionary Anthropology (DEA) Team Leaders

Ron PINHASI

Deputy Head

Dr. Ron Pinhasi  is the Head of the Ancient DNA Lab. His research focuses on human evolution including fieldwork projects on the Middle-Upper Palaeolithic transition in the Caucasus. He held an ERC Starting Grant project (2011-2015) that focused on human genetic history, migrations and admixture, and developed the widely-used ancient DNA optimisation method from the petrous bone.

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Department of Evolutionary Anthropology (DEA) Members

Sojung HAN

I am a postdoctoral researcher in the Computational Admixture Genomics group. My primary interests are understanding the evolutionary history and the genetic background of species-specific traits of primates, in particular of chimpanzees and bonobos, the closest extant species of humans. I am using bioinformatics approaches, and am trying to investigate not only the host genomic materials but also pathogens and environmental context in this endeavor.

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Department of Evolutionary Anthropology (DEA) Members

Sonja WINDHAGER

Sonja Windhager is a trained biologist and lecturer in Evolutionary Anthropology at the University of Vienna. Her research focus is on geometric morphometric approaches to human facial shape and interpersonal perception. This includes an interest in modern imaging techniques to study human facial form in two and three dimensions. The emphasis is on the use of calibrated morphs in intra- and cross-cultural research. Furthermore, she investigates human social behavior in the context of biophilia and the urban environment.

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Department of Evolutionary Anthropology (DEA) Members Allgemein

Susanna SAWYER

Susanna is a Lise Meitner Postdoctoral Researcher at the Department of Evolutionary Anthropology at the University of Vienna. She completed her PhD under Svante Pääbo on genomic insights into Denisovans and Neandertals of Denisova Cave. She joined the department in 2018 and has focused on a wide range of ancient DNA questions. She is particularly interested in ancient epigenetics and the effect of maternal behavior on methylation signals during gestation in ancient human populations. In 2023 she will begin a new project on human ancient DNA analyses from sediments.

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Department of Evolutionary Anthropology (DEA) Team Leaders

Sylvia KIRCHENGAST

The main research focus is the evolution of human life history patterns, comprising studies concerning growth patterns in recent as well as historical populations, in particular the impact of endogenous und exogenous stress factors on body height and directional asymmetry patterns. On the other hand, female reproductive biology, in particular pregnancy, childbirth and menopause are focused on.

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Department of Evolutionary Anthropology (DEA) Members

Thomas BEARD

I am a PhD candidate in the Department of Evolutionary Anthropology as part of Mareike Stahlschmidt’s team. I received my Masters degree from the University of the Witwatersrand, South Africa. For my MSc I worked at the site of Border Cave, South Africa, using the geoarchaeological techniques of fabric and facies analyses to understand the formation of the upper portion of the archaeological sequence. I am a geoarchaeologist, with a specific interest in investigating micro- to macroscale cave/rockshelter site formation processes and employing a multiproxy approach, using methods such as XRF, particle size analysis, and fabric analysis. I am also a multidisciplinary archaeologist and have a generalised knowledge of other archaeological fields. For my PhD I am pivoting into microarchaeology by using the technique of micromorphology to understand and contextualize the preservation of ancient DNA at the microscale at Upper Palaeolithic cave sites in Georgia.

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Department of Evolutionary Anthropology (DEA) Members

Tobias GÖLLNER

Tobias Göllner investigates the peopling of Asia via genetic ancestry, population structure, demography and selection. Currently he works together with the Maniq, a primary hunter-gatherer community of Southeast Asia to uncover their genetic history, admixture, and archaic introgression. Further topics of investigation will be selection and adaptation to a hunter-gatherer lifestyle in the rainforest. (PhD Supervisors: Martin Fieder and Helmut Schaschl)

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Department of Evolutionary Anthropology (DEA) Team Leaders

Tom HIGHAM

Head

  I am a Professor of Scientific Archaeology in the Department of Evolutionary Anthropology at the University of Vienna. Prior to coming to Vienna in August 2021 I was the Director of the University of Oxford’s Radiocarbon Accelerator Unit. My research focuses on developing and improving the radiocarbon method and applying it to the dating of archaeological sites, especially those dating to the Palaeolithic period.

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Network Associates Department of Evolutionary Anthropology (DEA)

Verena SCHÜNEMANN

My research is centered around ancient DNA retrieved from a wide range of samples to better understand pathogen-host-environment interactions across time and to trace back the evolutionary history of pathogens. Furthermore, I also work on ancient genomics of domesticated plants and animals from various time periods as well as on ancient microbiomes.    

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Department of Evolutionary Anthropology (DEA) Members

Victoria OBERREITER

I have completed my master’s program in Evolutionary Anthropology at the University of Vienna and I am currently a PhD student in Ron Pinhasi’s group. My research is part of the research platform MINERVA (Mineralogical Preservation of the Human Biome) which studies the interactions of ancient DNA (aDNA) with and protection by diverse mineral phases. I am currently specializing in extracting aDNA from archeological sediments with a specific focus on paleolithic cave sites. The obtained metagenomic data allow me to study human population history and occupations even at sites lacking human remains.  

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Department of Evolutionary Anthropology (DEA) Members

Xin HUANG

I am an evolutionary biologist and has been working on method development for solving different problems with population genomic data, including detecting positive selection, estimating strength of natural selection, quantifying time-varying selective pressures, inferring the distribution of fitness effects, and detecting archaic admixture. I will continue to investigate many other interesting topics in the future.

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