Samuel Border has successfully defended his Ph.D. thesis titled “Increasing the depth and quality of computational pathology research through interactive tools and multi-modal data.” His research, supervised by Dr. Sarder, focuses on developing innovative tools that integrate diverse data types to improve computational pathology. Samuel’s work aims to enhance disease diagnosis and research by combining imaging, molecular data, and machine learning.