Dejene Sahlu

• Conduct research on climate variability, extreme events, and hydro-climatic processes using climate models and Earth observation datasets. • Develop automated Python workflows for evaluating climate models and satellite precipitation datasets. • Apply machine learning and statistical analysis to understand environmental changes and climate-related risks. • Supervise MSc and PhD students working on climate modelling, numerical methods, and environmental data analysis.

• Managing high-dimensional datasets and large-scale database systems, specifically utilizing the CUAHSI Hydrologic Information System (HIS) SQL-based stack. • Modernized data management workflows to improving efficiency and data usability. • Applied the system to transform raw hydrological and climate data into actionable insights, supporting evidence-based decision-making in water resource management and climate risk preparedness.

– Working in a research team carrying out climate and agriculture. – Provide application of GS and Remote Sensing training for agricultural researchers

•Supported early warning and climate adaptation planning. •Provided operational meteorological services, including weather monitoring, forecasting, and data analysis. •Conducted time series analysis of climate data and facilitated the dissemination of information to a wide range of end-users. •Managed meteorological station networks and administered climate data systems, maintaining high standards of data quality and reliability. •Contributed to the development and delivery of seasonal climate outlooks