Joseph Boyard-Micheau graduated from the Sciences University of La Rochelle with a BSc of Geoscience (2007). He also received a Master's degree in Environmental Sciences from the University of Burgundy (2008) and a MScRes in Géobiosphère with a specific formation in the climatology and environmental research from the Sciences University of Burgundy (2009). He has obtained his PhD in Physical Geography at the University of Burgundy in November 2013. This PhD has been developed in the Biogeosciences institute in the Earth Science department, in the “Centre de Recherche de Climatologie” unit, under the supervision of Professor Pierre Camberlin.
He has been an active researcher in the multidisciplinary research project PICREVAT (French National Agency 2009-2013 under the supervision of Professor Vincent Moron) dedicated to Predictability of Climate Information for Vulnerability Reduction of Tropical Agriculture. Researches realized during his PhD (entitled Potential predictability of crop impacting climate variables for East Africa and application to sorghum in the Mt Kenya area) allowed him to acquire a strong knowledge of the variability of tropical climate with a large focus on the analyze of the potential predictability of intra seasonal rainfall descriptors at different spatial scales. He focused on the onset and cessation of the rainy season and worked also on the understanding of the dryness in East Africa. His researches are highly organized around climate impact over the well-being of human societies through the analyze of the role of climate variability on the rainfed agriculture and the Human Health.
He has integrated the Institu Català de Ciènces del Clima de Barcelona in September 2014 to work on the understanding of interactions between the vegetation (focusing on the agriculture) and the Kawasaki disease and the search of potential environmental triggers of this disease around the world (with large implication on the Japan area). He explores also the temporal variability of several parasites (Food and Water Borne Disease) in India and their potential predictability using climate and environmental parameters.