I am a Cognitive Science master’s student in Germany focusing on scientific machine learning for dynamical system modelling. My research experience spans NeuroAI in the Kietzmann Lab during my bachelor’s studies and, more recently, machine learning for climate modelling at the Alfred Wegener Institute for Polar and Marine Research.
My academic interests lie at the intersection of machine learning and system theory. I am fascinated by how AI can both draw inspiration from the brain and contribute to understanding it, while also being applied to complex real-world challenges such as climate systems.
In my free time, I enjoy the outdoors and engaging in a bit of type-2 fun after a full day of type-3 fun spent debugging my code.
Computational Neuroscience Summer School, 2024
Cape Town, South Africa
BSc in Cognitive Science, 2024
Universität Osnabrück | Kietzmann Lab

Deep Learning for fMRI Functional Alignment: Multi-subject autoencoder network for learning a shared latent space for neural activity

Helped developed a user interface for an AI-augmented decision-making tool called the “H2 Golden Retriever” for evidence-based hydrogen research grantsmanship

Title: Does AI in public discourse change with different political and socio-economic systems? An analysis of the AI debate in newspapers in the emergent AI Superpowers: USA, China and Germany. This study analyses popular newspapers of Germany, the USA and China and conducts a sentiment and SWOT analysis, to compare the style of discourse people of these nations are presented with. This study fnds that China is the most positive in its discourse around AI, while the US and Germany mainly communicate information on artifcial intelligence in an informative manner. In all three countries, the newspapers mostly cover favourable attributes of AI such as opportunities and strengths rather than adverse aspects like threats and weaknesses.
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