Lolita Muller

Lolita Muller is a senior research associate focused on evidence synthesis in climate and agriculture, with a regional emphasis on Africa. She holds an M.Sc. in Tropical Ecology from the University of the French West Indies, where her work included ecological modelling with a focus on Bayesian methods.

Her current work involves evidence synthesis to support decision-making around climate-smart agriculture, helping identify what works, where, and for whom. She is also exploring how large language models (LLMs) can be integrated into evidence synthesis workflows to improve speed, scalability, and accessibility.

Lolita brings together skills in ecology, agriculture, modelling, and applied AI to support more informed, data-driven approaches to agricultural resilience under climate change.