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Matthias Mimault

Staff picture: Matthias Mimault
Information and Computational Sciences
Information and Computational Sciences
Post Doc Researcher
matthias.mimault@hutton.ac.uk
+44 (0)344 928 5428 (*)
 

I graduated in Applied mathematics in 2012 from the University of Montpellier and was awarded a PhD in 2015 from the University of Nice. I was developing models of crowd motion in the ACUMES team at the INRIA Sophia-Antipolis. I used conservation laws into a non-classical framework to predict the behaviour of crowds. In 2016, I join the James Hutton institute with a post-doctoral position in the SENSOIL project with Lionel DUPUY to work on computational modelling of the rhizosphere. I developed a root model based on the Smoothed Particle Hydrodynamics method and a bacteria colonisation model with nonlocal interactions. I also took part into the MYR project with Jagadeesh YELURIPATI to develop a metamodel of the GHG emissions from agricultural activities in Norway with DNDC, a system model of the cycles of carbon, water and nitrogen.

My work consists on defining equations describing a problem, encoding them using C++ and Python and running them for quantitative and qualitative analysis. My current interest research are the description of complex situations using non-classical mathematics to predict and explain behaviours.

Bibliography


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The James Hutton Research Institute is the result of the merger in April 2011 of MLURI and SCRI. This merger formed a new powerhouse for research into food, land use, and climate change.