Dániel Antal is a founder and research affiliate with 11+ years turning messy, biased or incomplete data into reliable foundations for AI and policy decision-making. As co-founder of Reprex and Eviota and a research affiliate at the Centre for Competition Policy and IVIR, he advises C-level leaders across Europe on practical AI adoption, reproducible research workflows, and data governance in creative and copyright-heavy industries. His background spans from railway regulation and EU economic policy to building data-driven consultancies, giving him a rare blend of public-sector regulatory insight and hands-on data engineering. A Chartered Financial Analyst with deep roots in early AI and decades of coding, he’s equally at home on conference stages, in boardrooms, and in hackathons—where he focuses on automating data acquisition, validation, auditing and documentation so organizations can actually trust their algorithms.
Contributions:2 releases, 1 PR, 11 pushes in 2 years 4 months
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