R. Mitchell Parry, Ph.D.

Emory CCNE Distinguished Fellow

Dr. Parry obtained his undergraduate education from the University of Virginia in Charlottesville, VA where he received a B.S. in Computer Science with a minor in Electrical Engineering. He then attended graduate school at Georgia Tech. He received an M.S. in Computer Science with a specialization in computer graphics and visualization. He later earned a Ph.D. in Computer Science under the guidance of Dr. Irfan Essa focusing on audio signal separation. His dissertation addresses the problem of decomposing a mixed audio signal into a set of underlying source signals.

As a CCNE postdoctoral fellow, Dr. Parry develops and applies new algorithms to the analysis of high-throughput biomedical data. In general, these data contain overlapping contributions from multiple underlying factors. For example, multispectral images of quantum dot stained tissue samples contain the overlapping contribution of multiple quantum dots, autofluorescence, and background noise. By separating the quantum dot signals from the rest, the quantification and localization of each quantum dot improves. Dr. Parry is jointly supervised by Dr. May D. Wang and Dr. Shuming Nie. Dr. Parry works with Dr. Wang developing computational tools necessary to analyze data generated by novel nanotechnologies such as the quantum dots developed by Dr. Nie.

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