Dr. Antonia Gieschen

Biography

Antonia Gieschen is a lecturer in Predictive Analytics at the University of Edinburgh Business School, where she leads the undergraduate cohort in Business Economics degrees. Previously, she was a postdoctoral research associate at Carnegie Mellon University's Pittsburgh Supercomputing Center, where she focused on researching synthetic populations and multi-dataset integration. Antonia holds an MSc in Marketing & Business Analysis and a PhD from the University of Edinburgh. Her research spans various issues related to social science policy making, with a strong focus on computational statistics and machine learning. She is particularly interested in collaborating directly with policymakers and local organizations on grassroots movements. Currently, her work investigates financial wellness in relation to geospatial inequality and overall personal wellbeing, including access to healthy food within local systems. Her methodological research explores the challenges of integrating data from multiple sources in different contexts, particularly employing segmentation and clustering techniques. Antonia is also involved in PhD supervisions related to machine learning applications in social sciences, including marketing, consumer behavior, and population health.

Research Interests