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John Galeotti is a Senior Systems Scientist at the Robotics Institute at Carnegie Mellon University, where he directs the Biomedical Image Guidance Laboratory. He teaches a highly regarded graduate course on medical image analysis algorithms, showcasing his expertise in the field. With a PhD in Robotics and advanced degrees in computer engineering, his work emphasizes the intersection of science and medicine, focusing on the development of novel real-time computer-controlled optics and image analysis techniques for biomedical applications. Galeotti has made significant contributions to open-source biomedical image analysis projects, notably the Insight Segmentation and Registration Toolkit (ITK). His research is geared towards improving patient outcomes through innovative imaging modalities and analytical techniques. He has mentored numerous PhD and master's students, and received awards for his teaching and contributions to the field. His interdisciplinary approach has enabled collaborations across institutions, including the University of Pittsburgh, enhancing the scope and impact of his research in areas like tissue engineering and the biomechanics of tissues.
Carnegie Mellon University • Pittsburgh, PA
Leading the Biomedical Image Guidance Laboratory and teaching advanced courses on medical image analysis.
University of Pittsburgh • Pittsburgh, PA
Teaches courses related to bioengineering, emphasizing interdisciplinary research.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.