Hi, I'm Daniel
I love building intelligent systems - almost as much as I love questioning them. As a data scientist and AI researcher, I work where technology meets ethics, sustainability, and public discourse. I believe not everything should be optimized just because it can be - and that progress should be measured by what it protects, not just what it produces.
My work combines hands-on machine learning with a critical lens: How is AI shaping society? Who benefits? Who is left out? I explore these questions through research, community work, and public writing. My mission is to make AI more transparent, more just and more aligned with the limits of our planet.
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Role: Lead Author
Published in: Tiny Papers @ ICLR 2024 Archive
Summary: Developed a machine learning approach for stock valuation, leveraging qualitative and quantitative data, avoiding classical time series analysis.
Invited speaker at the Social Artificial Intelligence Night (SAINT) at FH St. Pölten. Explored how artificial intelligence exacerbates or mitigates global inequalities, with a focus on ecological impacts, access barriers, and the framing of AI in Western narratives.