Benjamin Wade, PhD
Dr. Wade completed his PhD in bioengineering at the University of California, Los Angeles (UCLA), where he was mentored by Dr. Paul Thompson. His postdoctoral research continued at the Ahmanson-Lovelace Brain Mapping Center at UCLA with Dr. Katherine Narr and the University of Utah with Dr. David Tate. His work has been supported by several awards from the National Institute of Mental Health (K99/R00), the Brain & Behavior Research Foundation (NARSAD Young Investigator Award), and the National Science Foundation (GRFP). He is currently an Instructor at MGH and HMS.
Dr. Wade’s research is focused on developing statistical and machine learning models to identify biomarkers of antidepressant response using multimodal neuroimaging data. Motivated by the recognition that symptoms of mood disorders are heterogenous both within and across classically-defined diagnostic boundaries, his work also focuses on the development of diagnostic biomarkers to detect the presence of transdiagnostic symptom disturbances. Data-driven methods hold great promise for the development of more personalized treatment strategies. His work aims to leverage these methods to jointly contend with symptomatic heterogeneity of mood disorders and identify robust biomarkers to improve prognostic and diagnostic precision in psychiatry.