Core Teams
The work of NDWS is carried out by five core teams under the direction of NDWS leadership. Core teams consist of co-investigators who are national experts in their fields and support staff who bring a wealth of complementary expertise.
Data Linkage Core
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Core Lead
Research Associate Professor, School of Social Policy and Practice, University of PennsylvaniaSteven Marcus is an epidemiologist, statistician, computer scientist, and a mental health services researcher studying the outcomes, quality of care, and pharmacoepidemiology of patients with serious mental disorders. He has expertise in the use of large claims databases (pharmacy claims, national Medicaid and Medicare claims, and private insurance) to answer important national policy questions related to health system capacity, quality of care, and service delivery.
Team Members
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Associate Professor, School of Nursing, University of California, San FranciscoAlso a member of the Survey Design Core
Ulrike Muench is a nurse practitioner and health services researcher. Her research interests include the health care workforce, opioid prescribing patterns, and quantitative methods. She has expertise working with large Medicare administrative claims data and numerous large national surveys, including the Medical Expenditure Panel Survey (MEPS) and American Community Survey.
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Assistant Professor, Psychiatry, Yale School of MedicineAlso a member of the Administrative Core
Timothy Schmutte is a licensed clinical psychologist and mental health services researcher with a longstanding interest in older adults and suicide prevention. His current research seeks to improve the quality of care for persons with serious mental illness and the aging population with a focus on suicide prevention. He is an expert in using large databases such as Medicaid/Medicare claims and electronic health records.
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Jeremy Seeman, PhDAdjunct Faculty, Institute for Social Research, University of MichiganJeremy Seeman is a research associate in the Labor, Human Services, and Population Center at the Urban Institute and an adjunct faculty member in the Institute for Social Research at U-M. His research develops statistical methods and governance strategies for privacy-preserving data publishing in social, behavioral, and health sciences.
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Lawrence R. Klein Collegiate Professor of Economics, Research Professor, Survey Research Center, University of MichiganMatthew Shapiro is an expert in macroeconomics. His current research interests include use of big data in economics; modeling saving, labor supply, retirement, health, insurance, and portfolio choices of older Americans; using surveys and administrative data to address questions in macroeconomics and individual decision making; and improving the quality of national economic statistics. He is a research associate of the National Bureau of Economic Research.
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Associate Professor, Department of Obstetrics and Gynecology, Interim Co-Director, Center for Bioethics and Social Sciences in Medicine, University of MichiganKayte Spector-Bagdady is an associate professor of obstetrics and gynecology and a clinical ethicist. A lawyer and bioethicist by training, the overarching goal of her work is improving the governance of secondary research with health data and specimens to increase the accessibility of data and generalizability of advances across diverse communities. Methodologically, she focuses on “translational policy,” or generating the empirical data necessary to develop and implement improved health policy.
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Assistant Professor of Health Services, Policy & Practice, Brown UniversityAlso a member of the Survey Design Core and Pilot Grants Core
Elizabeth (Betsy) White is a geriatric primary care nurse practitioner with extensive clinical experience in nursing homes and community-based long-term care. Her research broadly focuses on understanding how frail medically-complex older adults receive health care, and how factors affecting the nursing and primary care workforces impact quality outcomes in long-term care. She has assisted in the construction of large data systems of nursing home electronic health records.