Division of Neuropsychiatry and Neuromodulation

Ryan is a Data Analyst in the Division of Neuropsychiatry at Neuromodulation at MGH. He received his undergraduate degree in physics and applied mathematics from the University of Maryland, College Park, and his master’s degree in data science from the University of Virginia, where his research focused on deep learning techniques for anomaly detection in electrical signals. At MGH, Ryan’s is using machine learning techniques to identify biomarkers of psychiatric treatment response and to understand the relationship between bioenergetic markers of aging and mood disorders.