Marcel Neunhoeffer is a Postdoctoral Researcher at the Statistical Methods Unit of the Institute for Employment Research (IAB) in Nuremberg, Germany, and at SODA Lab at LMU Munich.
His research focuses on privacy-preserving AI and synthetic data generation.
He collaborated with the US Census Bureau and the German Federal Statistical Office (Destatis) on the development of privacy-preserving synthetic data for sensitive administrative datasets. He has published in leading venues across disciplines, including ICLR, PNAS, the Harvard Data Science Review, and Political Analysis.
As a co-founder and contributor to zweitstimme.org, he co-built a platform that communicates scientific election forecasts for German Federal elections to a broad audience, covered by major German media, including Süddeutsche Zeitung, Zeit Online, Tagesspiegel, and the Washington Post.