Berhe is a lecturer and researcher specializing in algorithms, machine learning, and data science, with applications in healthcare, geospatial analysis, and environmental sustainability. As a CAN fellow, He is leading a CAN case study in Tigray, Ethiopia, integrating climate, health, and socioeconomic data. His deliverables include risk prediction tools, spatial risk maps, and targeted policy recommendations to support intervention planning. Berhe holds an MSc in Computer Engineering and certifications from UC San Diego, Stanford, and DeepLearning.AI, and is committed to applying AI to address complex social challenges.
