This session will focus on opportunities for methodological research at the National Institute of Mental Health (NIMH). Christine Ulbricht, PhD, MPH, the Chief of the Methodological Research Program in the Services Research and Clinical Epidemiology Research Branch at NIMH, will provide an overview of NIH and discuss NIMH’s funding priorities, programs, and mechanisms. She will discuss recent advances in statistical methods for mental health services research and funding opportunities for such research, such as NIMH-funded studies of machine learning applications to prevent suicide.
Christine M. Ulbricht, PhD, MPH is a psychiatric epidemiologist who oversees the extramural Methodological Research Program within the Services Research and Clinical Epidemiology Research branch of the Division of Services and Intervention Research at the National Institute of Mental Health (NIMH). Prior to joining NIMH, she was an assistant professor at the University of Massachusetts Medical School, where her primary research interests were in applying novel statistical methods to understand heterogeneity of treatment effects, improve mental health services, and improve suicide prevention. She has served as the principal investigator of several NIH-funded studies leveraging big data to examine major depressive disorder, serious mental illness, and suicide among younger and older long-term care residents. Additionally, Dr. Ulbricht has been a co-investigator of studies on improving suicide risk identification in healthcare systems and on examining pain among older adults. She also served as associate faculty of the UMass Medical School’s Department of Psychiatry’s Implementation Science and Practice Advances Research Center and Eunice Kennedy Shriver Center and as the faculty co-director of the student chapter of the International Society of Pharmacoepidemiology