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 at the intersection of technology and ethics, ensuring that progress isn't just fast but meaningful. I enjoy tackling complex problems, making sense of messy data, and exploring how AI shapes society. I believe that not everything should be optimized just because it can be, and I'm here to challenge the idea that technology alone defines progress. Currently working on reducing the hypocriy of my profile.
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.