Dr. John Galeotti

Assistant Professor

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Biography

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.

Research Interests

Experience

Senior Systems Scientist

2005-06-01 — Present

Carnegie Mellon University • Pittsburgh, PA

Leading the Biomedical Image Guidance Laboratory and teaching advanced courses on medical image analysis.

Adjunct Assistant Professor

2005-06-01 — Present

University of Pittsburgh • Pittsburgh, PA

Teaches courses related to bioengineering, emphasizing interdisciplinary research.

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.