In connection with the Women in PDEs workshop at the Karlsruhe Institute for Technology April 27-28 2017, Gudrun Thäter recorded a podcast conversation with me on the topic of cerebral fluid flow in general and the #Waterscales project in particular.
Our short and sweet software paper on cbcbeat: an adjoint-enabled framework for computational cardiac electrophysiology by Rognes, Farrell, Funke, Hake and Maleckar has been accepted and published in the Journal of Open Source Software: http://joss.theoj.org/papers/8403a4b6cabff51d99d6b0a433358016
Late last year, I received an email from a member of the TEDxOslo organization committee, asking if I would be interested in giving a TEDx talk at TEDxOslo 2017 taking place in the National Theatre on May 3 2017. Enjoy the end result here:
I am happy to announce that Dr. Cécile Daversin-Catty joined the Waterscales project as a postdoctoral fellow at Simula Research Laboratory on May 1 2017. Cécile will be working on mixed dimensional finite element formulations for mesoscale modelling of the brain’s waterscape, from both a theoretical and an implementational (FEniCS) perspective.
I am truly grateful and honoured that the European Research Council has awarded me with a 5-year Starting Grant within Mathematics (PE1) to fund the Waterscales project, a project dedicated to the mathematical and computational foundations for modeling cerebral fluid flow.
The Waterscales vision
Over the next decades, mathematics and numerics could play a crucial role in gaining new insight into the mechanisms driving water transport through the brain. Indeed, medical doctors express an urgent need for multiscale modeling and simulation – to overcome fundamental limitations in traditional techniques. Surprisingly little attention has been paid to the numerics of the brain’s waterscape however, in stark contrast to the role of simulation in other fields of neuroscience, and key mathematical models and methods are missing. To address this important challenge, the overall ambition of the Waterscales project is to establish the mathematical, numerical and computational foundations for predictively modeling fluid flow and solute transport through the brain across spatiotemporal scales – from the cellular to the organ level.