Alejandra Castelblanco is a postdoctoral researcher at the Computational Imaging and AI in Medicine Chair (Prof. Julia Schnabel) at Helmholtz Center Munich. Her research focuses on deep learning for medical image analysis, computer vision, and biomedical signal processing. In her doctorate at the Technical University of Munich, she developed novel AI-based methods to improve continuous health monitoring of newborns in clinical settings, investigating methods for automated analysis of neonatal lung MRI, and computer vision techniques for video-based vital sign monitoring. During her master thesis at the RELab in ETH Zurich, she analyzed human balance control by studying the biomechanics and EMG biosignals associated with these movement patterns. In addition to her academic background, she has professional experience in research and development within the radiology software industry, as well as working as a data scientist in biometric authentication.

In her current research she aims to implement innovative Virtual Reality tools for interactive medical image visualization, medical training and decision support, while incorporating deep learning techniques.