SciLux podcast – Dagny Aurich on Environmental Cheminformatics

09 April 2024

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Exposomics

We know only the tip of the iceberg when it comes to chemicals in our environment, and the rest remains undiscovered. Dagny Aurich wants to uncover these unknown chemicals, which is crucial to understanding their effects, including influence on our health.

Dagny Aurich is a postdoctoral researcher at the Luxembourg Centre for Systems Biomedicine (LCSB) at the University of Luxembourg. Her research interests focus on forensics, analytical chemistry and environmental cheminformatics combined with data science and visualisation. She is currently working on the project “Mass Spectrometry Workflows for Unknown Chemicals”, as part of the Environmental Cheminformatics research group.


Listen to Dagny Aurich and discover the world of historical exposomics and environmental cheminformatics.

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The LUXTime Research Project

For her PhD work called LUXTime dedicated to historical exposomics, she collaborated with researchers from the Luxembourg Centre for Contemporary and Digital History (C²DH) and the Luxembourg Institute of Science and Technology (LIST) making her approach truly interdisciplinary.

The LuxTime project uses the industrialisation of Belval and the Minett region as a testbed for methodological and epistemological reflections on how to study the impact of environmental changes on the health of the local population in a long term perspective. By mixing ‘contextual information’ based on archival evidence with ‘scientific evidence’ deriving from chemical, biological, or medical investigations, the project explores new ground in interpreting “big data of the past” in a truly interdisciplinary setting.

The project was funded by the Institute for Advanced Studies of the University of Luxembourg and is part of a wider European research project – the “Time Machine: Big data of the past for the future of Europe” project – which aims to develop advanced AI technologies to make sense of vast amounts of information from complex historical datasets. The project is funded under the European Commission through the Horizon 2020 programme.

Discover the LuxTime project
Discover the LuxTime project

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