Melis Erdal Cesur

About

After graduating from medical school in 2019, Melis began her residency in pathology. During her training, she developed a strong interest in artificial intelligence (AI) and its potential applications in pathology. Upon becoming a certified pathologist, she decided to pursue a career in computational pathology research.

In July 2024, she joined Hugo Horlings’ group as a PhD student, aiming to validate and guide AI solutions in pathology. She is working on the LAICSIDE project that seeks to improve cancer diagnosis accuracy and efficiency by creating a cancer cell annotation atlas and eventually developing a virtual pathology assistant.