MIRYAM DE LHONEUX

Personal

Born in Liège (Belgium) in 1990. Married to Lars Riekehr

Education

Master of Arts in Modern Languages and Literatures (UCLouvain, 2013), Master of Science in Artificial Intelligence (The University of Edinburgh, 2014), PhD in Computational Linguistics (Uppsala University, 2019)

Career

PhD fellow at Uppsala University, Sweden (2015-2020). Postdoctoral researcher at the University of Copenhagen, Denmark (2020-2021).

International postdoc fellow funded by the Swedish Research Council (2021-2022) visiting KU Leuven and the University of Copenhagen (remotely). Assistant professor tenure track at KU Leuven since October 2022

Florian Feppon

Personal

Born in Ambilly (France) in 1992. Married, expecting a child in June 2023

Education

Graduated from École Polytechnique (Palaiseau, France, 2016). Master in Computation for Design and Optimization (Massachusetts Institute of Technology, Cambridge, USA, 2017).

PhD researcher (Centre de Mathématiques Appliquées (CMAP), France, 2017-2019) under a CIFRE funding from the company Safran. Received the ECCOMAS PhD award as well as the Paul Caseau prize from the French Academy of Science

Career

A short postdoctoral position at Centre de Mathématiques Appliquées. A Hermann-Weyl postdoctoral fellowship from the Forschung Institut of Mathematics, ETH Zürich. Postdoctoral researcher within the Seminar für Angewandte Mathematik, ETH Zürich (2020-2022). Assistant professor tenure track at KU Leuven since October 2022

Research

Natural language processing with a focus on multilingual and interpretable models. Two main goals:

1 to reduce the gap in access to language technology between languages of the world and

2 to uncover what neural networks learn about language using linguistically informed interpretability methods

Teaching

Information Retrieval and Search Engines, Language Engineering Applications, and Wetenschappelijke vorming. In the future: Natural Language Processing

Unit

Department of Computer Science, Human-Computer Interaction (HCI) e-mail miryam.delhoneux@kuleuven.be

Research

Broad interests in the fields of topology optimization, optimal design, homogenization and multiscale models, uncertainty quantication, data assimilation, and the asymptotic analysis of partial differential equations. Aim is meet the growing industry demand for automated design generation techniques in 3D printing, which can produce elaborate geometries with high physical performance in applications such as heat exchangers, poroelastic media, photonics and microfluidic devices

Teaching

Numerical Integration of Differential Equations, Project Mathematical Engineering, Wetenschappelijke vorming

Unit

Department of Computer Science, Numerical Analysis and Applied Mathematics (NUMA) e-mail florian.feppon@kuleuven.be