Summary
I am a PhD student at the Department of Mathematics, investigating causal relationships in socioeconomic systems. My research involves the development of causal structure learning (or causal discovery) methods based on nonparametric independence tests that do not take any assumptions on the underlying form of the relationships between variables. As an example for a socioeconomic system, we tried to learn the interlinkages amongst the United Nations' Sustainable Development Goals (SDGs) but we have also worked on the World Governance Indicators (WGIs).
A full list of my publications is on Google Scholar.
Overall, my research interests lie in kernel methods, causal discovery and network theory, and I find it interesting to use them to learn more about the connections between macro-economics, societies, and natural environments — which eventually underpin the urge to govern sustainably.
I am supervised by Mauricio Barahona and work closely together with Julius von Kügelgen.
I obtained an MSc in Engineering from the Technical University of Denmark (DTU) and Aarhus University with a focus on machine learning.
Besides my PhD studies, I co-founded a natural language processing (NLP) startup called NeuralSpace.
Publications
Journals
Liu Z, Peach R, Laumann F, et al., 2023, Kernel-based joint independence tests for multivariate stationary and non-stationary time series, Royal Society Open Science, Vol:10, ISSN:2054-5703
Laumann F, von Kuegelgen J, Kanashiro Uehara TH, et al., 2022, Quantitative assessment of complex interlinkages, key objectives and nexuses amongst the Sustainable Development Goals and climate change, The Lancet Planetary Health, Vol:6, ISSN:2542-5196
Stevenson S, Collins A, Jennings N, et al., 2021, A hybrid approach to identifying and assessing interactions between climate action (SDG13) policies and a range of SDGs in a UK context (vol 2, 43, 2021), Discover Sustainability, Vol:2
Stevenson S, Collins A, Jennings N, et al., 2021, A hybrid approach to identifying and assessing interactions between climate action (SDG13) policies and a range of SDGs in a UK context, Discover Sustainability, Vol:2, ISSN:2662-9984
Conference
Laumann F, von Kuegelgen J, Barahona M, 2021, Kernel two-sample and independence tests for non-stationary random processes, ITISE 2021 (7th International conference on Time Series and Forecasting), https://www.mdpi.com/2673-4591/5/1/31, Pages:1-13