Samuel Kwadwo Kumah

The researcher focuses on advancing computational geometry techniques for protein folding prediction using graph-based methods and deep learning models, particularly in integrating geometric neural networks. Their work emphasizes developing optimization frameworks for molecular simulations with deep generative models, aiming to enhance accuracy in predicting protein mechanisms and applications across drug design and biophysical studies.