معرفی
Maria A. Zuluaga is an Assistant Professor in the Department of Data Science at Eurecom. Her research focuses on developing machine learning techniques for high-risk domains like healthcare, addressing challenges such as data complexity, error tolerance, and reproducibility. She is affiliated with the 3IA Chairholders program, contributing to advancing AI applications in clinical settings.
Her research is structured around three core areas: interactive machine learning for data handling, error assessment for critical decisions, and the establishment of robust evaluation frameworks. She leads projects aiming to bridge the gap between AI systems and clinical practice by enabling incremental learning, multi-modal data generalization, and real-time model performance monitoring.
No specific scientific awards or grants are explicitly listed in the provided text. Her work is centered on translational AI for healthcare, with a focus on medical imaging and clinical validation. No advised students are detailed here, though she is associated with 3IA’s PhD and postdoctoral programs.
