Research Associate

Daniel Boateng

Based in Germany

I am a climate scientist and geological engineer with exceptional expertise in machine learning and software engineering. My research primarily focuses on utilizing General Circulation Models (GCMs) to conduct both historical and future climate simulations, aiming to gain a comprehensive understanding of the atmospheric dynamics driving global climate change. I am well-established in scientific and open-source model development, utilizing advanced statistical methods, machine learning, and artificial intelligence techniques in high-performance computing environments, including High-Performance Computers (HPCs) and cloud infrastructure.

My passion for developing user-friendly open-source software that contributes to addressing the impacts of climate change has led me to Equitech Future. Here, I actively collaborate with the Climate Tech team, a diverse group of individuals with various skills and knowledge. Together, we tackle societal challenges using emerging technologies like satellite datasets, climate analytics tools, and machine learning. Specifically, I contribute to the modeling pipeline of the platform that measures carbon emissions, offering insights into carbon emissions across space and time, which aids decision-makers in reaching their net-zero goals.

My educational background includes a Bachelor's in Geological Engineering with first-class honors from KNUST, Ghana, and a Master's in Applied Environmental Geoscience, also with first-class honors, from the University of Tuebingen, Germany. I am currently in the final stages of completing my Doctorate there. Throughout my career, I have been involved in various projects, including developing empirical statistical downscaling Python software (pyESD) to provide high-resolution climate change information. I have also conducted research to understand the past and future atmospheric dynamics of the West African monsoon. Moreover, I have contributed to developing precipitation nowcasting models, using deep learning frameworks and satellite imagery.