Speakers 2024

We are happy to announce that the lectures will be given by the following distinguished scientist:

 

Martijn Anthonissen (TU Eindhoven)
Martijn Anthonissen works at Eindhoven University of Technology in the Computational Illumination Optics group. This is one of the few mathematics groups worldwide working on optical design problems from illumination optics. The team has a healthy portfolio of PhD positions and close collaborations with industrial partners. The research focuses on nonimaging freeform optics (covered in the first lecture), imaging optics and improved direct methods (both in second lecture).

 

Bernhard Beckermann (U Lille)
Bernhard Beckermann is Professor of Applied Mathematics at the University of Lille. He is interested in constructive approximation in the complex plane, with applications in numerical linear algebra.

 

 

 


 
Stefan Güttel (U Manchester)
Stefan Güttel is Professor of Applied Mathematics at the University of Manchester. His work focuses on computational mathematics, including numerical algorithms for large-scale numerical linear algebra problems. 
  Susanna Röblitz (University of Bergen)

Susanna Röblitz is a professor in the Department of Informatics at the University of Bergen (UiB), Norway, and director of the Norwegian research school in bioinformatics, biostatistics and systems biology. She earned a doctorate from Freie Universität (FU) Berlin in 2008 for her work on molecular conformation dynamics, which was supervised by Peter Deuflhard. During her postdoctoral appointment at the Zuse Institute Berlin (ZIB), she started working on the systems biology of reproductive endocrinology and became head of the newly founded research group on Computational Systems Biology in 2010. After three years as Assistant Professor at FU Berlin, she moved to the Computational Biology Unit at UiB in 2018.
Röblitz develops deterministic and stochastic mathematical models to simulate rhythmic hormonal changes, to characterize intra- and inter-individual variability in these rhythms, and to study their perturbations by hormonal drug treatments. In addition, she develops algorithms for quantifying metastability in Markov processes and applies these methods to detect phenotype switches from stochastic gene-regulatory networks. 

 

Marie Rognes (Simula Research Laboratory, Norway)
Marie E. Rognes is Chief Research Scientist in Scientific Computing and Numerical Analysis at Simula Research Laboratory, Oslo, Norway. Her current focus is computational mathematics and its role in brain research. She received her Ph.D from the University of Oslo in 2009 after an extended research stay at the University of Minnesota Twin Cities, Minneapolis, US. She has been at Simula Research Laboratory since 2009, and led its Department for Biomedical Computing from 2012 to 2016. She held a Professor II position (20%) at the Department of Mathematics, University of Bergen, Norway (2020-2022), and was a Visiting Fulbright Scholar at the Institute for Engineering in Medicine, University of California San Diego, CA, US (2022-2023).
Rognes is a member of the Norwegian Academy for Technological Sciences (2022-) and was a Founding Member of the Young Academy of Norway in 2016. She won the 2015 Wilkinson Prize for Numerical Software, the 2018 Royal Norwegian Society of Sciences and Letters Prize for Young Researchers within the Natural Sciences, an ERC Starting Grant in Mathematics in 2017, and is the principal recipient of several ground-breaking research grants from the Research Council of Norway. She is a member of the Research Council of Norway's Portfolio Board for ground-breaking research (2024-), the European Mathematical Society's Committee for Applications and Interdisciplinary Relations (2023-), the Interpore Council (2023-), and the FEniCS Steering Council (2016-), in addition to six Editorial Boards spanning pure and applied mathematics, scientific computing and mathematical software. Rognes has supervised more than 8 postdoctoral fellows, 16 PhD or DPhil students, and 13 MSc students in the period 2012-2024.

 

Boris Thibert (U Grenoble Alpes)
Boris Thibert is a professor of Applied mathematics at Université Grenoble Alpes. His expertise lies in the computational aspects of geometric problems, with connections with various domains such as optimal transport, Monge-Ampère equations, inverse problems in optics, etc.