AI-Based Smart Orchestration with Representation Learning and Foundational Models
Research interests
Deep Learning, Multimodal Learning, diffusion MRI, Unsupervised Learning
Hobbies and interests
Football, Basketball, Diving, Food
Co-funding Partner
Biography
Mehmet Yigit Avcı is a PhD student at King’s College London, funded by DRIVE-Health and deepc, focusing on AI-driven solutions for healthcare applications. His work centers on developing smart orchestration systems to enhance medical image analysis routing technologies. Yigit holds a Master’s degree in Biomedical Computing from the Technical University of Munich and a Bachelor’s degree in Electrical & Electronics Engineering from Boğaziçi University, Istanbul. His prior research interests include unsupervised learning, diffusion MRI and enhancing AI robustness in MRI, with a focus on Alzheimer’s disease analysis and resilience in medical imaging algorithms. Driven by a passion for using AI to solve real-world healthcare problems, Yigit is dedicated to advancing biomedical engineering through innovative research that bridges technology and patient care.