Constellia accelerates climate adaptation with hyperlocal monitoring and AI. With the same platform, communities can strengthen their climate resilience with accurate, hyperlocal climate risk forecasts and also verify that adaptation projects provide their expected benefits.
With over 20 years experience in quantitative finance, Brian has developed real-time prediction models for asset prices, credit default risk, portfolio risk, and numerous classification models. He has created simulation engines for modeling various financial risks. Brian has taught master’s classes in data science for over 7 years and is a pioneer in reproducible science, where he is completing his book Introduction to Reproducible Science in R. Recently Brian has turned his attention to climate adaptation and is focused on helping communities accelerate their adaptation initiatives. His most recent company, Constellia, brings together his experience in time series forecasting with his background in electrical engineering.
Abdala brings over 12 years of expertise in climate-smart agriculture, agroforestry, and resilience programming. He holds an MSc and BSc in Forestry from Sokoine University of Agriculture and has successfully led large-scale initiatives addressing climate risks in Tanzania’s semi-arid regions. While working with ICRAF (World Agroforestry Centre) in Tanzania, including Dodoma, he introduced agroforestry and conservation agriculture practices that increased crop yields by 30% through tree-crop intercropping in drought-prone areas. He has also coordinated and managed a €2.5 million restoration project and established more than 1000 demonstration plots, directly benefitting 5,000+ smallholder farmers in semi-arid regions such as Dodoma.
Constellia has participated in the following incubators and accelerators.