Yalcin Tur is a researcher and computer science undergraduate at Stanford University with a focus on Artificial Intelligence and Deep Learning applications in healthcare and autonomous systems. His research interests include the intersection of AI and medicine, specifically in utilizing deep learning techniques for medical image analysis and predictive modeling. Yalcin has contributed to several impactful research projects, including the development of machine learning models for predicting MRI-induced power absorption in patients with DBS leads and short-term mortality in patients with acute pulmonary embolism.His work has been published in reputable conferences such as the IEEE International Symposium on Computer-Based Medical Systems. Yalcin's research experience extends to collaborating with interdisciplinary teams at Northwestern University and the Technical University of Berlin, where he explored trajectory prediction algorithms for autonomous vehicles. With a strong foundation in AI-driven methodologies and a track record of translating research into practical solutions, Yalcin is dedicated to advancing the field of AI for real-world impact in healthcare and autonomous technologies.