Domokos Sármány

Domokos received his MSc degree in meteorology from Eötvös Loránd University, Budapest, Hungary. His thesis work was on numerical weather prediction, in which he investigated the computation treatment of boundary conditions for limited-area models. He went on to obtain a PhD degree in numerical analysis from the University of Twente, the Netherlands. As part of his research there, he developed and analysed discontinuous Galerkin finite-element methods (DG-FEM) for the effective simulation of electromagnetic wave propagation.

Domokos continued his career as a post-doctoral researcher at the University of Leeds. His area of interest was to create and analyse a novel numerical finite-element-type modelling technique -- called residual distribution -- for the simulation of fluid dynamics, in particular for applications that involve shock capturing and/or atmospheric effects.

Domokos moved to the private sector in 2013 and joined Process Systems Enterprise, now part of Siemens. He was a member of the team that oversaw the numerical engine that underlay the company's flagship gPROMS platform. The engine solves mathematical problems that arise from scientific computing: large sparse systems of differential equations, mathematical optimisation, parameter estimation and sensitivity analysis.

Domokos joined the Development Section at ECMWF's Forecast Department in April 2018. His current responsibilities include overseeing the development and delivery of MultIO, a set of software libraries for efficient data output and on-the-fly post-processing. The main focus is on operational weather forecasting, as well as extreme-weather and climate simulations for Destination Earth, a flagship initiative of the European Union (EU). Domokos has also previously led ECMWF's participation in the EU-funded Maestro project, an effort to co-develop and co-design a middleware for data movement in complex storage and memory architectures.