The computerization of biology in recent decades has fundamentally changed the way knowledge about life can be acquired and applied. Technological advances are ever-heightening the predictive ability of biological science, while at the same time inundating our existing workflow channels. Wielding an integrative, machine-driven toolset, my goal is to part this sea of data and find sunken material of biological significance. In particular, I am interested in the development and advancement of deep learning applications in medical imaging and electron microscopy data analysis.
Deep Learning
Publications
SHIFT: speedy histopathological-to-immunofluorescent translation of whole slide images using conditional generative adversarial networks
EA Burlingame, AA Margolin, JW Gray, YH Chang