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Department of Archaeology



After a BSc degree in Biology (Chinese University of Hong Kong, 2013), I obtained an MSc degree in Evolution, Ecology and Systematics (Ludwig Maximilian University of Munich, 2015) which introduced me to the study of population histories through genetic data. My PhD project in the nearby Department of Genetics uses high-coverage modern genomes to explore population structure and archaic admixture across human populations worldwide. Since November 2018, I have been working on the project “After the Plague: Health and History in Medieval Cambridge”.


I am interested in using genetic information to better understand human history. In my current role, this involves estimating kinship, ancestry, and traits related to health in past populations in the Cambridge area. Combined with evidence from other fields, we aim to achieve a more comprehensive picture about lives that are under-represented in the recorded history. Apart from empirical work, I am also interested in statistical models in population genetics and quantitative methods to incorporate different types of archaeological data.


Key publications: 
  • Christiana L. Scheib, Ruoyun Hui, Eugenia D’Atanasio, Anthony Wilder Wohns, Sarah A. Inskip, Alice Rose, Craig Cessford, Tamsin C. O’Connell, John E. Robb, Christopher Evans, Ricky Patten & Toomas Kivisild. (2019). East Anglian early Neolithic monument burial linked to contemporary Megaliths. Annals of Human Biology, 46:2, 145-149.
  • Laurits Skov, Ruoyun Hui, Vladimir Shchur, Asger Hobolth, Aylwyn Scally, Mikkel Heide Schierup, Richard Durbin. (2018). Detecting archaic introgression using an unadmixed outgroup. PLOS Genetics, 14(9): e1007641.

Job Titles

Research Associate, McDonald Institute for Archaeological Research

General Info

Not available for consultancy
Research Expertise / Fields of study: 
Human Population Genetics
Human Evolution
Biomolecular Archaeology

Contact Details

West Building 2.1, McDonald Institute for Archaeological Research, Downing Site


Person keywords: 
Population genetics, human evolution