2026 Speakers SCS Spring meeting

Jemima Tabeart is an Assistant Professor in the Computational Science group at TU Eindhoven. Jemima completed her PhD at the University of Reading in 2019 with Professor Sarah Dance, working on correlated observation errors for data assimilation problems. After her PhD she undertook postdoctoral position at ICERM (Brown University), the University of Edinburgh and then spent a year as a Hooke Fellow at the University of Oxford. Her research interests lie at the intersection of numerical linear algebra and data assimilation for high-dimensional applications including weather forecasting, geosciences and biomedical engineering. She is a fellow of the Computational Science Centre for Research Communities. Outside work she enjoys hiking, crafting and blogging about her adventures on public transport.

Stevie-Ray Janssen joined NLR’s Flight Physics and Loads department in 2017 after earning MSc degrees in Applied Mathematics and Aerospace Engineering from Delft University of Technology. He contributes to the development of NLR’s in-house CFD system ENFLOW, with work including aeroacoustic boundary conditions, Chimera meshing, coupled simulations, and unsteady adjoint methods. His R&D work focuses on aerodynamic and aeroacoustic analysis and design for propulsion-system applications, including inlets, propellers, and fans.

Sabia Asghar obtained her Master's degree in Mathematics from Quaid-i-Azam University, Islamabad, Pakistan. Since December 2022, she is a Ph.D. student in the Computational Mathematics group at the Department of Mathematics and Statistics, Hasselt University, Belgium. Her research focuses on mathematical and numerical principles in the mechanics of soft tissues.

Lise Noel is an Assistant Professor in the Precision and Microsystems Engineering Department at TU Delft. She studied Mechanical Engineering (BSc. and MSc.) and received her PhD on design for damage resistance from the University of Liege. She worked as a postdoctoral researcher at KU Leuven on the design of metamaterials for noise insulation, at Stanford University on modeling brain tissue damage, and at CU Boulder on numerical tools for multiscale and multiphysics design optimization. In 2021, she joined TU Delft. Her research focuses on computational mechanics and design optimization methods. Over the past 10 years, she has contributed to the fi eld of structural and multidisciplinary optimization working on fundamental aspects such as the XFEM-level set approach, analytical sensitivity analysis, as well as on different problems including solid and fluid mechanics.

Julian Koellermeier is Assistant Professor at Ghent University and University of Groningen. Before, he held postdoctoral positions at KU Leuven, Peking University and FU Berlin, and obtained his PhD from RWTH Aachen University.
His research in Applied Mathematics focusses on the mathematical modelling, numerical analysis, and numerical simulation of fluid dynamics problems motivated by free-surface flows and kinetic theory. In his current NWO Vidi project "HiWAVE", he is developing adaptive hierarchical models that balance accuracy and runtime to obtain efficiency. He is a founding member of the strategic research initiative "WAVES.NL". Besides, Julian is active in outreach and science communication, for example with his project "Mathematics and the race to Mars" (Nerdland, Science is Wonderful, European Researchers' Night, Pint of Science, Dag van de Wetenschap). He is currently (co-)supervising 7 PhD students and 1 Postdoc.

Rik is a PhD candidate in the Scientific Computing group at CWI (Centrum Wiskunde & Informatica) in Amsterdam. He holds a Bachelor’s and Master’s in Applied Mathematics from Eindhoven University of Technology, where his theses focused on shallow water equations and numerical linear algebra. His current work centers on developing data-driven subgrid-scale models for Large Eddy Simulations. Outside of the lab, he is dedicated to investigating the structural integrity of cracking ice — specifically, whether it truly doesn't break.

Hongliang Mu received his Masters degree in Applied Mathematics from Xi'an Jiaotong University in 2022. Since September 2022, he has been a Ph.D. candidate in the Department of Applied Mathematics at the University of Twente under the supervision of Silke Glas.
His research focuses on structure-preserving model order reduction (MOR) of high-dimensional dynamical systems derived from energy-based modelling.
The aim of his work is to propose nonlinear MOR techniques for nonlinear (port-)Hamiltonian systems that ensure the underlying system structure is preserved in the resulting reduced-order models.
By preserving the structure, key properties such as stability and passivity are retained.