Scott Cody
Senior Vice President & Chief Solutions Officer
Contact
ScottCody@westat.comOverview
Scott Cody, MPP, is Senior Vice President and Chief Solutions Officer. He provides leadership and oversight of Westat’s cross-cutting research capabilities, including data collection, data management, statistics, data science, and survey operations. He works across the company to identify, develop, and apply new methodological innovations that meet our clients’ most pressing needs.
A nationally recognized expert in evidence-based decision-making, Cody is known for translating complex data and research findings into clear, actionable intelligence for policymakers and practitioners. His methodological expertise spans evaluation design, inferential statistics, machine learning (ML), simulation modeling, and rapid process improvement.
Over the course of a more than 30-year career, Cody worked with federal agencies such as the U.S. Departments of Agriculture, Education, Energy, Health and Human Services, and Labor.
Education
- MPP, Public Policy, Johns Hopkins University
- BA, Economics, College of Wooster
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Genomic and evolutionary classification of lung cancer in never smokers
53,
Nature Genetics
January 2021
T. Zhang, P. Joubert, N. Ansari-Pour, W. Zhao, P.H. Hoang, R. Lokanga, A.L. Moye, et al.
DOILink for: Genomic and evolutionary classification of lung cancer in never smokers -
Effect of incentive amount on US adolescents’ participation in an accelerometer data collection component of a national survey
33,
Field Methods
January 2021
A.Y. Oh, A. Caporaso, Terisa Davis, L.A. Dwyer, L.C. Nebeling, B. Liu, E. Hennessy
DOILink for: Effect of incentive amount on US adolescents’ participation in an accelerometer data collection component of a national survey -
The longitudinal epidemiologic assessment of diabetes risk (LEADR): Unique 1.4 M patient electronic health record cohort
8,
Healthcare
January 2020
H.A. Fishbein, R.J. Birch, Sunitha Mathew, H.L. Sawyer, G. Pulver, J. Poling, D. Kaelber, et al.
DOILink for: The longitudinal epidemiologic assessment of diabetes risk (LEADR): Unique 1.4 M patient electronic health record cohort