Johann Yaw Sekyi-Baidoo

This researcher's work spans a broad range of geophysical and biological systems, employing computational modeling and machine learning to advance understanding across various fields. Their focus includes the interplay between physical processes in geology, biodynamics, and climate science, as well as the application of deep learning techniques for predictive modeling. They investigate phenomena like earthquakes, climate change, marine ecosystems, exoplanet formation, materials science applications such as peridynamics, hydrogeological systems, and carbon cycle dynamics. Their research emphasizes the complexity of natural systems and the challenges in modeling these with accuracy and scale, particularly in capturing uncertainty across large spatial and temporal scales.