Mehmet Yigit Avci is a PhD student at King’s College London supervised by Dr. Jorge Cardoso, and funded by DRIVE-Health and deepc, specializing in AI-driven solutions for healthcare applications. His research focuses on developing smart orchestration systems. He leverages foundation models and representation learning to harness multi-modal radiology data for building scalable and robust frameworks. Yigit holds a master’s degree in biomedical computing from the Technical University of Munich and a bachelor’s degree in electrical and Electronics Engineering from Boğaziçi University, Istanbul. His prior research spans unsupervised learning, diffusion MRI, and enhancing the robustness of AI algorithms in medical imaging, with a particular focus on Alzheimer’s disease analysis and resilience in clinical workflows. Passionate about solving real-world healthcare challenges, Yigit is dedicated to advancing biomedical engineering through cutting-edge research that bridges AI innovation and patient care.