John Galeotti

John Galeotti is a Senior Systems Scientist and Adjunct Assistant Professor at Carnegie Mellon University (CMU), affiliated with the Robotics Institute (RI) and Biomedical Engineering departments. He directs the Biomedical Image Guidance Laboratory and has an adjunct appointment at the University of Pittsburgh's Bioengineering department. His research focuses on integrating medical robotics, computer vision, and advanced image analysis to improve clinical outcomes.

With a Ph.D. in Robotics and B.S./M.S. in Computer Engineering, Galeotti's work emphasizes real-time computer-controlled optics, medical image segmentation, and AI-driven diagnostics. He has led projects in autonomous ultrasound scanning, needle insertion robotics, and synthetic data generation for medical AI.

• Research Keywords: Medical Robotics, Machine Learning, Ultrasound Segmentation, Computer Vision, Augmented Reality, Diagnostic Imaging

Galeotti is a key contributor to the open-source Insight Segmentation and Registration Toolkit (ITK) and has received external teaching funding and awards for his internationally recognized course on medical image analysis algorithms. His lab's publications highlight advancements in AI applications for lung ultrasound, vessel segmentation, and optical coherence tomography.