Patrick O’Neill is a doctoral student in Human Development and Family Studies, a research fellow with the Research Translation Platform, and a PAMT predoctoral fellow. He is interested in how to prevent childhood adversities through the integration of related research into policymaking activities at both the state and federal levels. Increasing the use of research evidence by policymakers has implications for the frequency of evidence-based policies and availability of prevention/intervention programs for adverse-affected children and families. Patrick is mentored by Max Crowley and Christian Connell. His PAMT mentors are Max Crowley and Damon Jones.
Patrick received his M.A. in Psychology from Teachers College, Columbia University and his B.A. in Psychology with honors from the University of New Haven.
About PAMT
The Prevention and Methodology Training (PAMT) program, funded by a T32 grant from the National Institute on Drug Abuse, trains predoctoral and postdoctoral researchers in the integration of prevention science and statistical methodology for the behavioral sciences.
Patrick O’Neill is a doctoral student in Human Development and Family Studies, a research fellow with the Research Translation Platform, and a PAMT predoctoral fellow. He is interested in how to prevent childhood adversities through the integration of related research into policymaking activities at both the state and federal levels. Increasing the use of research evidence by policymakers has implications for the frequency of evidence-based policies and availability of prevention/intervention programs for adverse-affected children and families. Patrick is mentored by Max Crowley and Christian Connell. His PAMT mentors are Max Crowley and Damon Jones.
Patrick received his M.A. in Psychology from Teachers College, Columbia University and his B.A. in Psychology with honors from the University of New Haven.
About PAMT
The Prevention and Methodology Training (PAMT) program, funded by a T32 grant from the National Institute on Drug Abuse, trains predoctoral and postdoctoral researchers in the integration of prevention science and statistical methodology for the behavioral sciences.
