Project

Palaeoanalytics

Goal: Research in human evolution has been transformed by the impact of genomics and the development of ancient DNA methodologies, with insights into past demography, dispersal and admixture patterns, social behaviour, selection, disease history, and more. The challenge for classical palaeo-sciences is to develop methodologies and data capture that matches the richness of genomic data. This project is designed to develop machine learning and data science methodologies for non-genomic data to provide a more comprehensive and integrated understanding of human evolution.

https://www.turing.ac.uk/research/research-projects/palaeoanalytics

https://github.com/alan-turing-institute/Palaeoanalytics

Date: 1 November 2020 - 30 June 2022

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Jason Gellis
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Research in human evolution has been transformed by the impact of genomics and the development of ancient DNA methodologies, with insights into past demography, dispersal and admixture patterns, social behaviour, selection, disease history, and more. The challenge for classical palaeo-sciences is to develop methodologies and data capture that matches the richness of genomic data. This project is designed to develop machine learning and data science methodologies for non-genomic data to provide a more comprehensive and integrated understanding of human evolution.