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John Galeotti
Systems Scientist, RI
Office: NSH A525
Phone: (412) 559-9351
  Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Administrative Assistant: Stephanie Matvey
Research Interests

CV, Research Statement, and Teaching Statement

I am a Senior Project Scientist and Adjunct Assistant Professor at Carnegie Mellon University (CMU), directing the Biomedical Image Guidance Laboratory and teaching an internationally recognized graduate course on medical image analysis algorithms. I have a Ph.D. in Robotics from CMU’s School of Computer Science, where my primary appointment is in the Robotics Institute (RI) and my adjunct (with advising privileges) is in Biomedical Engineering (BME). My B.S. and M.S. are in ECE, and I have an additional adjunct assistant professor appointment (also with advising privileges) in Bioengineering at the neighboring University of Pittsburgh (U. Pitt.).

Through my interdisciplinary research, collaborations, and teaching experience, I have been continually working to improve patient outcomes by improving the tools of science and medicine, with an emphasis on applying novel, real-time computer-controlled optics, image analysis, and visualization approaches to build and control unique experimental systems for image-guided interventions, diagnosis, and biomedical research. Biomedical scientists have expressed specific interest in using my research to enable in-vivo measurements of nerve regrowth, to enable harvesting and transplantation of ocular stem cells, and to study yet inaccessible tissue biomechanics to better understand developmental morphogenesis and organogenesis, cancer dormancy and reemergence, and tissue engineering scaffold design.

I am a significant contributor to the open-source Insight Segmentation and Registration Toolkit (ITK) for biomedical image analysis from the National Library of Medicine (NLM). I worked as part of the initial ITK Consortium, and I teach the longest continually running course in ITK, “Methods in Medical Image Analysis,” which is cross-listed in CMU’s RI, BME, and ECE departments, as well as at U. Pitt. For my teaching I have received external funding, two teaching awards, and the honor of mentoring another professor this spring. My public course website has been used as a basis for several similar classes around the world.

My long-term goal is to invent fundamentally new optical imaging modalities to see things that have never been seen before, with corresponding breakthroughs in the analysis and visualization of such images.

Research Interest Keywords
3-D perceptionbioengineeringcomputer visiondata visualizationdisplay devicesimage processingmachine learningmedical applicationsmedical imagingmedical roboticsobject recognitionopticsteleoperation