About
Dr. Adrien Allorant is a Lecturer in Social Statistics and Global Health based in the department of Social Statistics and Demography at the University of Southampton. He is currently the module lead for RESM 3001—Applied Social Quantitative Analysis and co-teaches RESM 2001— Introduction to Social Data Analytics. He is also a reviewer on the Faculty of Social Sciences Ethics Review Committee.
Research
Research interests
- Survey Statistics
- Small Area Estimation
- Sociology of quantification in social sciences
- Methods and metrics for measurement in population health
- Official Statistics
Current research
Dr. Allorant current research sits at the intersection of applied statistics, sociology and public health. He is involved in data-integration collaborations across southern Africa, through projects with the World Health Organization HIV team, to harmonise surveillance and improve estimates of the HIV/AIDS epidemics at granular levels. In parallel, Dr. Allorant is also interested in the critical issues in the measurement of socio-economic status, using novel data sources (e.g., satellite imagery, administrative data). Most recently, Dr. Allorant has been developing a future project tracing how numbers acquire the status of “official statistics” by following their journeys through national statistical systems.
Research projects
Active projects
Publications
Teaching
Dr. Allorant has taught a variety of undergraduate and postgraduate modules, including Introduction to Probability & Statistics, Data Science, Quantitative Methods for Global Health, and Micro-Economic Evaluation of Public Policy.
Biography
Dr. Allorant joined the University in 2024. He holds a Diplôme d’Ingénieur in Statistics from ENSAE ParisTech (2016), a master’s in public health from Paris-Saclay University (2016) and obtained his PhD in Global Health from the University of Washington and the Institute for Health Metrics and Evaluation (2021). Before joining the University, Dr. Allorant was a post-doctoral Research Fellow at McGill University (2022), and a Visiting Assistant Professor in Statistics at Reed College (2023).