Keynote Speakers

Wil Schilders

Professor at TU Eindhoven University of Technology

Prof. Wil Schilders is a Dutch applied mathematician and international leader in scientific computing, with a career spanning industry, academia and science policy. After completing his PhD at Trinity College Dublin in 1980, he worked for three decades at Philips and NXP Semiconductors, where he developed world-class algorithms and software for electronic design automation and device simulation. In 1999, he was appointed full professor at Eindhoven University of Technology (TU/e), holding the chair in “Scientific Computing for Industry” within the Centre for Analysis, Scientific Computing and Applications (CASA). He retired in June 2023 and is now emeritus professor at TU/e.

His academic work bridges numerical mathematics, scientific machine learning and model order reduction, and has led to successful European research collaborations and industrial applications, notably in electronics, lighting, and drilling technologies. Prof. Schilders has authored or edited over ten books and supervised more than 25 PhD students. He is the Executive Director of Platform Wiskunde Nederland (PWN), served as President of the European Consortium for Mathematics in Industry (ECMI, 2010–2011) and EU-MATHS-IN (2016–2020), and currently leads the International Council for Industrial and Applied Mathematics (ICIAM) as President (2023–2027). He is also a Hans Fischer Senior Fellow at the Institute for Advanced Study of the Technical University of Munich.

He is a SIAM Fellow, Honorary Member of ECMI, and Fellow of the European Academy of Sciences. His contributions to science and society have been recognized with the Stairway to Impact award from the Dutch Research Council (NWO), and the royal distinction of “Officier in de Orde van Oranje Nassau.” A passionate advocate for mathematics in innovation, Prof. Schilders continues to champion the role of mathematics in addressing industrial and societal challenges around the world.

Marco Bertani Økland

Everdeen

Marco Bertani-Økland holds a PhD in Mathematics from NTNU, where he studied Auslander-Reiten theory, under the supervision of Idun Reiten. Currently, Marco works at Everdeen as partner, while serving as fractional Head of AI and Chief Data Scientist at both Elix and Flowphys. His work spans Natural Language Processing, Generative AI, information retrieval / search technologies and responsible AI development.

Previously, Marco served as Vice President of AI and Engineering at EcoOnline, and Chief Software Engineer at Computas. Marco is the Chair of Tekna Big Data since 2022, curating Tekna's technical network of 8000+ members, demystifying AI technology, and helping shape the political landscape in Norway for an ethical and sustainable use of technology. He's also member of the European AI Alliance.

Marco focuses on responsible, scalable and sustainable AI implementation, helping businesses solve complex challenges through practical applications of AI, ML, and Data Science.

Signe Riemer Sørensen

SINTEF Mathematics and Cybernetics.

She obtained her PhD in astrophysics from the Dark Cosmology Centre, at the Niels Bohr Institute, University of Copenhagen, 2009 .

She is Research Manager for Analytics and AI and Senior Research Scientist in machine learning for industrial applications. She works with hybrid AI (data driven modelling of physical systems), combining machine learning and optimization, explainable AI, data science and statistical analysis.

Signe works on overcoming challenges for implementing machine learning and artificial intelligence in a range of very different industrial settings where physics plays a role and data is less than perfect.

Clara-Cecilie Günther

Gjensidige

Clara-Cecilie Günther completed her PhD in statistics at the Department of Mathematical Sciences at NTNU in 2009, with her research focusing on statistical analysis of biological data, in particular diagnostic tests and gene expression data.

For many years she worked as a senior research scientist at the Norwegian Computing Center, on a wide span of research projects. She has experience from bioinformatics, medicine, banking, insurance and public services.

Since 2022 she has been working as a senior analyst in Gjensidige in the product and pricing division, which has a large analytic community, continuously working on improving pricing methods, with respect to both precision, automation and ethical considerations.

Trygve Karper

Dr Trygve Karper is a cofounder and currently the CEO of Databutton, an AI no-code platform for building apps through simple prompts.

Prior to this, Trygve held positions such as Vice President of ML Engineering at Cognite AS, Senior R&D Engineer at Schlumberger Information Solutions and in academia as associate professor at NTNU.

Trygve has a background in numerical mathematics, with a Ph.D in Mathematics focusing on partial differential equations and numerical methods.

Arne Bechensteen

Kongsberg Discovery

Arne Bechensteen, Senior R&D Engineer, Ph.D.

Arne Bechensteen received his Master’s degree in Applied Mathematics from the Institut National des Sciences Appliquées de Toulouse in 2017. He completed his Ph.D. in Signal Processing at Université Côte d’Azur in 2020, under the supervision of Laure Blanc-Féraud and Gilles Aubert. His doctoral research focused on sparse optimization and super-resolution microscopy, and his thesis was awarded Best Thesis by the École Doctorale STIC at Université Côte d’Azur in the field of Automatic, Signal and Image Processing.

During his Ph.D., Bechensteen also taught courses in image processing and machine learning at Polytech Nice Sophia. In 2021, he joined Kongsberg Maritime as an R&D Engineer, now a Senior R&D Engineer at Kongsberg Discovery, working on signal processing, machine learning, and detection algorithms.

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