Gregory R. Johnson



Dr. Greg Johnson is Machine Learning Scientist at the Allen Institute for Cell Science in Seattle, Washington. He received his Ph.D. in Computational Biology from Carnegie Mellon University in 2016, and a M.S. in Biomedical Engineering from Carnegie Mellon in 2012.

Greg was a major contributor to the CellOrganizer project while a Ph.D. student, and is now one of the Project Leaders. He will continue to play a critical role in its development while at the Allen Institute.


Google Scholar page
  • G. R. Johnson, T. E. Buck, D. P. Sullivan, G. K. Rohde and R. F. Murphy (2015) Joint Modeling of Cell and Nuclear Shape Variation. Mol. Biol. Cell 26:4046-4056.
  • G. R. Johnson, J. Li, A. Shariff, G.K.Rohde, and R.F. Murphy (2015) Automated Learning of Subcellular Pattern Variation among Punctate Proteins and of a Generative Model of their Distributions in Relation to Microtubules. PLoS Computational Biology 11(12): e1004614.

Support for CellOrganizer has been provided by grants GM075205, GM090033 and GM103712 from the National Institute of General Medical Sciences, grants MCB1121919 and MCB1121793 from the U.S. National Science Foundation, by a Forschungspreis from the Alexander von Humboldt Foundation, and by the Freiburg Institute for Advanced Studies.

Copyright © 2007-2015 by the Murphy Lab, Carnegie Mellon University