معرفی
Dr. Görkem Saygili is an Assistant Professor at Tilburg University's Department of Cognitive Science and Artificial Intelligence (TSHD). His research focuses on applying machine learning techniques to healthcare challenges, including medical image analysis, single-cell RNA sequencing, and AI model optimization. He holds a PhD and is involved in interdisciplinary projects like the AI Deployment Journey in Healthcare initiative. His work bridges computational methods with clinical applications, emphasizing generative models, dimensionality reduction (t-SNE), and continual learning frameworks.
Research interests include improving diagnostic accuracy via deep learning (e.g., PET/CT scan synthesis), enhancing clustering techniques for genomic data, and reducing computational bottlenecks in bioinformatics. He teaches courses on machine learning and deep learning at Tilburg University.
