Liyuneh Gebre

Liyuneh Gebre is a Climate Data Science Research Officer in the Climate Action team at the Alliance of Bioversity International and CIAT, based in Addis Ababa, Ethiopia. He has a strong background in climate and computational science, holding an MSc in Meteorology Science from Nanjing University of Information Science and Technology, complemented by bachelor’s degrees in Meteorology Science and Computer Science. With over a decade of professional experience, he specializes in climate modeling, geospatial analytics, and the design and development of data-driven decision-support systems. His work focuses on climate upstream services, climate adaptation, and developing integrated decision-support systems that combine climate forecasts, water availability, and pasture dynamics to inform pastoralists, smallholder farmers, and policymakers
He has played a key role in the development of livestock waterpoint and pasture monitoring and forecasting systems, which received global recognition at the FAO World Food Forum for innovations driving sustainable agrifood transformation. His contributions span the full system lifecycle, including human-centered design, system architecture, ETL pipeline development, system administration and the customization and enhancement of waterpoint model into open-source solutions, improving system performance and enabling migration and deployment of the platform at the Ethiopian Institute of Agricultural Research (EIAR). He has also contributed to the development of pastoral seasonal climate advisory services and supported the EDACaP platform through automated geospatial data workflows. More broadly, his work integrates climate modeling, geospatial analysis, and machine learning to advance climate resilience, sustainable rangeland management, and evidence-based decision-making.
Prior to his current role, he began his career at the Ethiopian Meteorological Institute, where he served as an Aviation Meteorologist, Climatologist, and CliData Administrator, contributing to climate data management and forecasting operations. He later worked as an Agrometeorology Researcher at the Ethiopian Institute of Agricultural Research (EIAR), where he contributed to climate risk analysis for agriculture, the development of seasonal agro-climate advisory services, and applied machine learning techniques for digital soil mapping to model soil spatial variability using environmental covariates in support of agricultural planning. He subsequently worked as an Oracle Database Administrator at Bunna International Bank, supporting mission-critical enterprise systems.