Lecturer in Predictive Analytics and UG Cohort Lead (MA Business and Economics, MA Business with Strategic Economics)
Roles and Responsibilities
Academic roles:
- UG Cohort Lead Business and Economics degrees (2025 - current)
- MSBE Research Seminar Organiser (2025 - current)
Courses taught in 2025/26:
- Principles of Data Analytics (CMSE11432)
- Predictive Analytics and Modelling of Data (CMSE11428)
Office hours during teaching blocks:
- UG students: Monday, 14:00-15:00 and Wednesday 13:00-14:00
- PG students: Monday, 11:30-12:30
Background
Antonia is a Lecturer in Predictive Analytics. Before joining the MSBE group at the University of Edinburgh Business School, she was a Postdoctoral Research Associate at Carnegie Mellon University within the Pittsburgh Supercomputing Center, researching synthetic populations and multi-dataset integration therein. She holds an MSc in Marketing & Business Analysis and a PhD from the University of Edinburgh.
Research Interests
Antonia's research covers multiple issues around social science and policy making, and their intersection with computational statistics and machine learning. She has a strong interest in directly working with policy makers, local organisations and grassroot movements. Currently, she is investigating financial wellness and relating it to geospatial inequality and the wider wellbeing of a person, as well as food systems and local access to healthy food. Her current methodological research question relates to how dissimilarities between data from multiple sources are calculated in different contexts, stemming from her work on segmentation and clustering approaches.
Topics for PhD supervisions are ML applications in the social sciences / computational social sciences, which include but are not limited to:
- marketing and consumer behaviour
- tourism and travel movement,
- financial wellbeing and mental/physical population health
- spatial inequality in all of the above.
Prospective applicants should contact Antonia with a CV and developed research proposal.