Miguel Ángel Maté González
SSP Stratigraphy, Sedimentology and Palaeontology
The 2024 Division Outstanding Early Career Scientist Award is awarded to Miguel Ángel Maté González for his outstanding work in palaeontology and archaeology developing a new methodology for the analysis of 3D cut marks on bones.
Miguel Ángel Maté González obtained his PhD in Geotechnologies applied to Construction, Energy and Industry in 2017, with cum laude mention. He has solved difficulties related to the use of geomatics sensors, representation techniques, 3D display, sensor calibration and has generated a new methodology for the analysis of 3D cut marks on bones. That methodology has been used in different archaeological and palaeontological projects and numerous scientific papers and has been presented at various international congresses. His doctoral thesis, titled “Implications of photogrammetry and laser techniques in the identification and characterization of anthropic traces on bone remains in Pleistocene archaeological sites”, was awarded with the Extraordinary Award by the Universidad de Salamanca (Extraordinary PhD Award – 2018). The methodology included in the doctoral thesis provides a method to obtain information on the behaviour of our ancestors, through the analysis of the faunal fossil record found in the archaeological sites of the Pleistocene. More specifically, the new methodology allows the recognition of the raw material that caused the cut marks present in the fossilised bones and to identify the lithic tool, resulting from the disembodiment processes in these archaeological contexts.
Miguel Ángel Maté González is currently a member of the teaching and research staff at the University of Salamanca and since 2015, he has published 57 papers in leading international journals.
In summary, Miguel Ángel Maté González, as evidenced by a very strong set of papers that are both at the leading edge of their discipline as well as generating significant practical management impact, is a very worthy recipient of the Sedimentology, Stratigraphy and Palaeontology (SSP) Division’s Outstanding Early Career Scientist Award.