Nicholas Kesseh

This researcher has focused on developing computational modeling techniques for biomedical image analysis, with a particular emphasis on integrating advanced numerical methods and machine learning to improve understanding of complex biological systems. Their work spans areas such as medical imaging, where they employ image segmentation algorithms and deep learning frameworks to analyze structural abnormalities in soft tissue and organs. Additionally, their research explores the application of applied mathematics in solving inverse problems within biological tissues, particularly relevant for cancer treatment and disease diagnosis. This interdisciplinary approach continues to bridge theoretical advancements with practical clinical applications across diverse fields.