Boyam Fabrice Yaméogo
Université Lédéa Bernard Ouédraogo
yamboyfab@yahoo.fr
Boyam Fabrice Yaméogo is Assistant Professor of Modeling and Simulation at Université Lédéa Bernard Ouédraogo and Adjunct Lecturer in Statistics at the Higher Institute of Population Sciences (ISSP), Université Joseph Ki-Zerbo, Burkina Faso. An applied mathematician (Ph.D., Université de Nantes, 2021) also trained in demography, he works at the intersection of computational social science and digital demography. His research covers synthetic population generation, microsimulation, spatial modeling, machine learning and the use of non-conventional data (web data, APIs and digital traces) to study health, poverty and living conditions in West Africa. His peer-reviewed work appears in Environment and Planning B, the Journal of Artificial Societies and Social Simulation and Transportation Research Record, and he contributes to open-source software. He has served as a statistical expert on EU- and UN-Habitat-funded programs and trains researchers and professionals in data science, notably as a trainer at the Summer Institute in Computational Social Science (SICSS) in Ouagadougou.
Yaméogo, B. F., Hankach, P., Vandanjon, P.-O., & Gastineau, P. (2023). Allocating synthetic population to a finer spatial scale: An integer quadratic programming formulation. Environment and Planning B: Urban Analytics and City Science, 50(2), 515–540. https://doi.org/10.1177/23998083221120019
Yaméogo, B. F., Vandanjon, P.-O., Gastineau, P., & Hankach, P. (2021). Generating a two-layered synthetic population for French municipalities: Results and evaluation of four synthetic reconstruction methods. Journal of Artificial Societies and Social Simulation, 24(2), 5. https://www.jasss.org/24/2/5.html
Yaméogo, B. F., Gastineau, P., Hankach, P., & Vandanjon, P.-O. (2021). Comparing methods for generating a two-layered synthetic population. Transportation Research Record, 2675(1), 136–147. https://doi.org/10.1177/0361198120964734
Gastineau, P., Can, A., Yaméogo, B. F., Luquezi, L. G., Hankach, P., Vandanjon, P.-O., & Bescond, V. L. (2024). Modeling exposure to mobility-related pollution: Review and key challenges. Transportation Research Record, 2678(7), 587–603. https://doi.org/10.1177/03611981231208907
Yaméogo, B. F., Vandanjon, P.-O., Hankach, P., & Gastineau, P. (2021). Methodology for adding a variable to a synthetic population from aggregate data: Example of the income variable. HAL preprint hal-03282111. https://hal.science/hal-03282111
- Steering Committee Member, IUSSP Scientific Panel on Digital Demography, AI, and Open Science (2027–2030).
- Trainer, Summer Institute in Computational Social Science (SICSS), ISSP–UQAM, Ouagadougou (2026).
- Lead Trainer, Workshop on Non-Conventional Data in Demography and Health, Ouagadougou Population Observatory (2026).
- Associate Researcher, Laboratory of Numerical Analysis, Computer Science and Biomathematics (LANIBIO), Université Joseph Ki-Zerbo, Burkina Faso.
- Associate Researcher, Population–Environment–Development Laboratory (LPED), Aix-Marseille Université, France.
- Statistical Expert, Centre of Excellence on Housing (CEH), ESEA–ISSP–UN-Habitat (2023–2024).
- Deputy Program Coordinator, Population Knowledge Capacity-Building Program, ISSP, co-funded by the European Union Delegation to Burkina Faso (2022–2023).
- Industry-funded doctoral research, Université Gustave Eiffel – SNCF Research & Innovation partnership, France (2018–2021).