I am a computational scientist working on implementing distributed numerical methods efficiently by targeting various kind of accelerators, including multi and manycores architectures (CPU, GPU, MIC), in a hybrid fashion. The main technologies I use are OpenCL, Cuda, Python and C++ and most of the codes I develop are available as open source software on my github and gitlab accounts.

I graduated in 2015 from the Ensimag (Grenoble INP institute of engineering at university Grenoble-Alpes). I then completed my PhD by the end of 2019 at the Jean Kuntzmann laboratory under the supervision of Georges-Henri Cottet, Christophe Picard and Iraj Mortazavi on the subject of numerical modelling and high performance computing for sediment flows.

I completed my postdoctoral research under the supervision of Boris Thibert and Quentin Mérigot in the field of computational geometry. Together, we are now founding RayMapr, a deeptech startup where I lead the technical development. RayMapr computes the freeform lenses and mirrors that send the light of an LED exactly where it is needed, sharp cut-off included, using optimal transport and GPU computing. The resulting surfaces are described in NURBS and go straight to CAD, machining or injection moulding. Despite now working in the field of nonimaging optics, I still occasionally contribute to HySoP (Hybrid Simulation with Particles), a library designed for high performance distributed flow simulation targeting heterogeneous architectures which will be open-sourced soon. More recently, I got involved in the analysis and rendering of 3D subcellular imaging datasets.