Andrea SCAGLIONI completed his master's degree in Computational Science and Engineering at the prestigious EPFL (Lausanne, Switzerland) in 2019. From 2019 to 2024, he worked as a project assistant in the research group of Prof. Michael FEISCHL and completed his dissertation on "Sparse Grid Approximation of Stochastic Partial Differential Equations" in October 2024 with distinction!

In his dissertation, Dr. Scaglioni considered mathematical problems that describe physical phenomena with random disturbances or data affected by measurement errors. In particular, he dealt with the solution of equations that describe the behaviour of magnetic materials at the microscopic level. For this purpose, Dr. Scaglioni worked with the so-called sparse grid interpolation, a numerical method that can solve high-dimensional problems very efficiently under certain conditions. In addition to impressive new mathematical results, Dr. Scaglioni also developed a Python library that implements his newly developed methods. The dissertation was reviewed by Professor Martin EIGEL (WIAS Institute Berlin) and Professor Josef DICK (UNSW Sydney).

Dr. Scaglioni will be working as a postdoc in the group of Prof. Ilaria PERUGIA at the University of Vienna from October 2024 and will continue his promising research work. We wish him every success!

Andrea SCAGLIONI completed his master's degree in Computational Science and Engineering at the prestigious EPFL (Lausanne, Switzerland) in 2019. From 2019 to 2024, he worked as a project assistant in the research group of Prof. Michael FEISCHL and completed his dissertation on "Sparse Grid Approximation of Stochastic Partial Differential Equations" in October 2024 with distinction!

In his dissertation, Dr. Scaglioni considered mathematical problems that describe physical phenomena with random disturbances or data affected by measurement errors. In particular, he dealt with the solution of equations that describe the behaviour of magnetic materials at the microscopic level. For this purpose, Dr. Scaglioni worked with the so-called sparse grid interpolation, a numerical method that can solve high-dimensional problems very efficiently under certain conditions. In addition to impressive new mathematical results, Dr. Scaglioni also developed a Python library that implements his newly developed methods. The dissertation was reviewed by Professor Martin EIGEL (WIAS Institute Berlin) and Professor Josef DICK (UNSW Sydney).

Dr. Scaglioni will be working as a postdoc in the group of Prof. Ilaria PERUGIA at the University of Vienna from October 2024 and will continue his promising research work. We wish him every success!