The Stanley Center Psychiatric Genetics and Neuroscience Fellowship offers an opportunity for advanced study and research in Psychiatric Genetics and Neuroscience, and serves as a bridge between clinical training and the development of a research career. The fellowship, sponsored by the Stanley Center for Psychiatric Research at Broad Institute, the MGH-McLean Hospital Adult Psychiatry Residency Research Concentration Program, and Brigham and Women's Hospital Harvard Longwood Residency Program, provides funding for one to two years of research and study after residency training. A total of 1-2 new awards are granted each year.
The application cycle for the 2018-2019 fellowship(s) will open soon. For more information on the fellowship, and for application guidelines, download the application announcement here.
Questions about the fellowship should be directed to:
Stanley Center for Psychiatric Research at Broad Institute
Michael Murphy, M.D., is the 2016-2017 Stanley Center Psychiatric Genetics and Neuroscience Fellow. Murphy is a graduate of the University of Wisconsin (B.S., M.D., and Ph.D.), and is currently Chief Resident at Massachusetts General Hospital and a PGY-4 resident in the Massachusetts General Hospital/McLean Hospital Adult Psychiatry Residency. He has been working with Broad associate members Dost Ongur and Diego Pizzagalli to develop work he first began as a doctoral student using electroencephalography (hd-EEG) to measure the activity of the brain during waking, sleep, and anesthesia. During the fellowship period, he hopes to decipher the regulation of slow wave sleep, the similarities between sleep and anesthesia, and the relationship between sleep and memory.
About the 2015-2016 Fellow
Thomas McCoy, M.D. is the 2015-2016 Stanley Center Psychiatric Genetics and Neuroscience Fellow. McCoy is a graduate of Dartmouth College (A.B.) and Weill Cornell Medical College (M.D.), and is a resident in the MGH/McLean Hospital adult psychiatry program. He has been working with Broad associate member Roy Perlis on developing a high-throughput computational approach to deep, multi-dimensional psychiatric phenotyping. During the fellowship period, he expanded on this research by using machine learning, natural language processing, and information retrieval systems to develop a comprehensive, computational approach to phenotyping clinical populations based on longitudinal medical records.