He works of the USC URSE, research unit on the livestock at Ecole Supérieure des Agricultures (Angers, France). He performed a PhD in the bovine reproduction and biostatistic in 2020. In 2021, he made a post-doc in order to identify by machine learning boars that have bad odor in their meat. His research in URSE unit focusses the application of precision breeding on the different topics such as animal reproduction and animal feed. To address these different topics, several analyses are performed such as machine learning, meta-analysis, statistical analysis and model building.
BANLIAT Charles
R&D Engineer
Animal husbandry
Livestock Systems Research Unit (USC URSE)
+33 7 60 81 03 00
c.banliat@groupe-esa.com
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