Steven M Hodge

Steven M Hodge is an Instructor in the Department of Psychiatry and Behavioral Sciences at UMass Chan Medical School, with additional appointments in the Eunice Kennedy Shriver Center. He serves as the chief statistician at the Child and Adolescent Neurodevelopment Initiative (CANDI), focusing on neuroimaging and biostatistical analysis of neurodevelopmental disorders.

• Institution: UMass Chan Medical School
• School: T.H. Chan School of Medicine
• Department: Psychiatry and Behavioral Sciences

Education:

• B.A. in Psychology and Music, University of Wisconsin at Stevens Point, 1991
• M.A. in Cognitive Psychology (emphasis in neuropsychology), Brandeis University, 1996

Mr. Hodge's research centers on biostatistical analysis of human brain imaging data, particularly in autism, bipolar disorder, and schizophrenia. His work aims to understand normative brain development and pathological changes associated with mental illness. He collaborates with Prof. David N. Kennedy on neuroinformatics initiatives to pool and analyze large-scale brain imaging datasets. His expertise lies in data reproducibility, morphometric analysis, and multivariate statistics.

The trend in his recent publications (2020–2024) reflects a growing emphasis on data re-executability, open neuroimaging resources (e.g., CANDIShare), and psychological interventions in youth. Earlier work (2003–2015) focused heavily on structural and functional MRI studies of psychiatric disorders, including autism, bipolar disorder, and depression, often exploring cerebellar and limbic system abnormalities.

Scientific Contributions:

• Co-developer of CANDIShare and the Internet Brain Volume Database
• Key contributor to the ReproNim initiative on reproducible neuroimaging
• Prolific collaborator in large-scale neuroimaging studies of psychiatric conditions

Mr. Hodge has advised numerous research projects as a biostatistician and data scientist, though formal student advisement is not documented. He has not received any publicly listed grants or awards, but his work has been cited over 200 times in high-impact journals. He is a member of the American Statistical Association and has participated in NIH-sponsored methodological summits.

He is actively involved in the Neuroinformatics Program at UMass, working to build collaborative environments for data sharing and advanced statistical modeling in child psychiatry research.