Organization: TU Delft
Job: Assistant Professor of Computational Mechanics, Department of Aerospace Structures and Materials

Bianca Giovanardi’s expertise lies in high-performance computational modeling of multi-physics coupled problems across diverse domains, including geophysics, biomechanics, aerospace, forensics, and defense. Prior to joining TU Delft in 2020, she served as a postdoctoral associate in the Department of Aeronautics and Astronautics at MIT, where she applied high-performance computing to nonlinear solid mechanics, fracture mechanics, and fluid-structure interaction. She earned her PhD in Computational Mathematics from the Politecnico di Milano in 2017.

Organization: University of Amsterdam
Function: Professor of Computational Science and Engineering 

Alfons Hoekstra’s research focusses on digital twins in healthcare, multiscale modeling of complex systems, and high-performance computing. He is also a member of the Computational Science Lab, and serves as editor for the Journal of Computational Science.

Organization: University of Twente
Job: Professor of Computational Chemical Physics

Linn Leppert holds a PhD in Physics from the University of Bayreuth, graduating summa cum laude, and completed her postdoctoral research at the University of California, Berkeley. Her research, recognized with awards including the Alexander-von-Humboldt fellowship and the NWO VIDI, focuses on developing and applying first-principles numerical modeling techniques to study excited electronic states of energy and functional materials.

Organization: Radboud University Nijmegen
Position: Assistant professor – Ultrafast Spectroscopy of Correlated Materials

Johan Mentink does theoretical and computational research to push the limits for the control of magnetism at the shortest length and time scales. He is recipient of the NWO Rubicon, VENI and VIDI grants. In 2021 he initiated research on exploring the potential of neuromorphic hardware for computational science use cases with SURF and researchers from Radboud University, University of Twente, and IBM.

Organization: VORtech BV
Position: General manager

Mark Roest is general manager at VORtech, a company providing scientific software engineering services. He studied applied Physics at TU Delft and holds a PhD from that same university on the study of parallel computing for shallow water simulation. Together with a fellow PhD student, he founded VORtech, which he still leads. Next to his daytime job, he is chairman of the Innovation Committee of the Dutch Platform for Mathematics, which stimulates the use of mathematics in industry and society. As a part of his role as chairman he participates in ICIAM, the International Council on Industrial and Applied Mathematics.

Organization: TU Eindhoven
Position: Professor and Chair of Scientific Computing in the Industry

Wil Schilder’s key areas of expertise include computer systems, architectures, networks, numerical analysis, model order reduction, scientific computing and computational science. He has worked in industry for over 30 years and his emphasis has always been on the development of novel mathematical methods for a large variety of industrial challenges. This is also reflected in his current work, with many national and international industrial contacts, and his presidency of ECMI (2010-2011) and EU-MATHS-IN (from 2016). Wil has a Master’s degree in Mathematics, with Physics and Astronomy, from the Radboud University in Nijmegen and a PhD in Numerical Methods from Trinity College Dublin, Ireland.

Organization: Research Institute for Mathematics and Computer Science in the Netherlands (CWI)
Position: Researcher

“What I like about computational science is that you have to combine knowledge from different domains with plenty of room for creativity. As a CSNL ambassador I hope to contribute to forming a bit more of a Dutch computational science community. The spread of computational scientists over many application fields has in the past made it difficult for people to meet, even when they shared much of the same interest.”

Jannis did a bachelor in physics and astronomy at the University of Amsterdam (UvA), during which he got interested in using computers to solve physics problems. After a master in computational science at the UvA, he went on to do a PhD at Centrum Wiskunde & Informatica (CWI) on the numerical modeling of electric discharges. Jannis spent some time working as a postdoc at KU Leuven, and returned to CWI in 2018, where he now works as a researcher. Electric discharges are still my main application field. His computational interests include particle and fluid methods, elliptic solvers, adaptive mesh refinement, and more recently the use of GPUs and scientific machine learning.