School Of Archaeology
I am a physical anthropologist currently working as a post-doctoral research fellow on a project funded by the Irish Research Council titled ¿From hunters to farmers: the evolution of human populations preceding the emergence of agriculture¿ at UCD, School of Archaeology and associate researcher at the Museum national d¿Histoire naturelle, Département Hommes, Natures, Sociétés, UMR 7206 CNRS (Paris, France).
I studied geology at the University Pierre et Marie Curie in Paris, France, and at the University of Florence, Italy (BA in 2008). I then completed a MA (2010) in quaternary and prehistory at the Musee national d¿Histoire naturelle, Paris, France, and at the University Rovira I Virgili, Tarragona, Spain. My master dissertation focused on craniometric variation of Amerindian populations. I completed my PhD (2013) in paleoanthropology titled ¿The first peopling of the Americas: Cranial variation of fossil and modern humans assess by 3D geometric morphometrics¿ at the Musee national d¿Histoire naturelle, Paris, France. This dissertation was a comparative analysis of 978 modern human skulls and neurocraniums covering a large chrono-geographical range. This work represented the first application at large scale of 3D geometric morphometrics (traditional landmarks and sliding semilandmarks) in the context of the American¿s settlement.My main research interests are: anthropology/paleoanthropology, morphological variability of Homo sapiens ¿ human evolution and adaptation - peopling of the Americas ¿ transition to farming - geometric morphometrics ¿ modelling approach.
Honours and Awards
| Year: 2011.
Title: Prix Leroi-Gourhan
|Association: American Journal of Physical Anthropologists, Function/Role: Member|
|Association: European Society for the Study of Human Evolution, Function/Role: Member|
|Association: Société d¿Anthropologie de Paris, Function/Role: Member|
|Galland M, Froment A, Friess M (2014) [Poster Presentation], Impact of geographic, chronological, climatic and linguistic factors on human cranial variation: new insights on the peopling of the New World, Florence, Italy , 18-SEP-14 - 20-SEP-14.|
|Galland M, Friess M, Froment A (2014) [Oral Presentation], Craniometric variability of Amerindian fossils: implications for the settlement of the New World, 1838èmes Journées de la Société d¿anthropologie de Paris, January 28-31 2014, Montpellier, France , 28-JAN-14 - 31-JAN-14.|
|Galland M, Friess M (2014) [Oral Presentation], Geographic and diachronic variation among Amerindian crania: A 3D geometric morphometric test of settlement hypotheses, 83rd Annual Meeting of the American Association of Physical Anthropologists, Calgary, Canada , 09-APR-14 - 12-APR-14.|
| Year 2013 Institution: Muséum national d'Histoire naturelle
Qualification: PhD Subject:
From hunters to farmers: the evolution of human populations preceding the emergence of agriculture
My research is primarily concerned with the analysis of cranial shape variation, and understanding its relation with diet across the transition to farming.
The main aim of the proposed project is to chart variation in craniofacial and mandibular morphology in various skeletal series from Mesolithic to Neolithic. These series include the site of Zjevnieki (Latvia, 9 000 ¿ 1 800 BC); Nubians (12 000 ¿ 1 200 BC); Natufians (Southern Levant, 13 000 ¿ 9 700 cal BC) and Egyptians (2 900 ¿ 1 500 BC). The objectives are (i) to characterize the cranial and mandibular variability, to detect the presence of several migrations and/or regional continuity and to quantify morphological change associated with subsistence change; (ii) to detect morphological differences between chronological and geographical groups and between males and females; (iii) to compare morphological characteristics from Mesolithic to Neolithic series with modern populations of hunters and farmers; (iv) to assess how morphological variation is related with diet, ecology and climate.
My methods involve the use of 3D scanning and geometric morphometrics and sliding semilandmarks methods which allow to quantify and visualize size and shape components and to assess the covariation with extrinsic factors.