David Logan, a computational biologist for the Broad Institute’s Imaging Platform, develops advanced methods to quantify and mine the rich information present in cellular images to yield discoveries and, ultimately, therapies. He also works on machine learning software to allow biologists to statistically analyze data from images of stained cells. Logan is interested in the role of context in image and motion processing, especially distinguishing foreground from background, as well as self-motion from object motion, when analyzing images.
Logan joined the Broad Institute in July 2007 after completing his Ph.D. in neuroscience at the University of Rochester and conducting postdoctoral research at MIT. Logan received a B.S. in physics and astronomy from University of Michigan and an M.S. in physics from University of Maryland.Select Publications
Kamentsky L et al. Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software. Bioinformatics. 2011 Apr 15;27(8):1179-80.
Logan DJ and Carpenter AE. Screening cellular feature measurements for image-based assay development. J Biomol Screen. 2010 Aug; 15 (7) :840-6.
Logan DJ and Duffy CJ. Cortical area MSTd combines visual cues to represent 3-D self-movement. Cereb Cortex. 2006 Oct;16(10):1494-507.