Michael Nagle

About

Michael’s research interests center on the development and application of machine learning and high-performance computing methods to analyze biological datasets, which a special interest in highly polygenic traits controlled by many -omic variables. His PhD and postdoctoral work involved the study of regeneration in the model tree Populus, and relied on the development of methods for computer vision and genetic association mapping. With the Lieber Institute, Michael is now applying his background to advancing knowledge and developing treatments for schizophrenia, a condition with incredible polygenic complexity.