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David J. Amiel, M.S.

Research Analyst

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(732) 564-9100 x23

Education

M.S., Statistics; Rutgers University
B.A., Biomathematics/Cognitive Science; Rutgers University

Affiliations

American Evaluation Association, AEA
American Educational Research Association, AERA
CS4NJ Coalition
American Statistical Association, ASA

Biographical Highlights

→ Enthusiastic researcher and educator with a strong foundation in statistics, research methodologies, and computer science education.  
→ Experienced in curriculum development, program evaluation, educator collaboration, and mixed-methods research.  
→ Dedicated to using data to advance impactful solutions through shared thought and partnership in academic and professional settings.  

David Amiel is a Research Analyst at the Rutgers University Center for Effective School Practices (CESP), where he advances the center's agenda through the planning, implementation, and dissemination of rigorous research and evaluation work. In his role at CESP, David works to create and curate knowledge and resources, connect them to relevant audiences in effective ways, and collaborate with partners to apply findings to practice.

As an enthusiastic collaborator, David frequently partners with schools, community organizations, and other stakeholders to identify needs, develop interventions, and understand progress towards goals. His work includes the development of data collection instruments, carrying out meaningful and robust data analyses, and gleaning insights to inform CESP's work and support data-driven decision-making among partners. Within education, David draws on his experience as an educator, providing technical assistance, professional learning, and hands-on support to practitioners.

David is passionate about making complex ideas accessible and useful through clear communication. Whether working directly with professionals, helping data tell their story, or disseminating the center's research and work at conferences and publications, David works to connect evidence and findings to the audiences they can support. Through the creation of content, publications, and presentations, David works to disseminate and represent the center’s work to diverse audiences of practitioners, researchers, and other professionals.

His interdisciplinary training has equipped him with an analytic perspective and skill set that he enjoys applying to help others and address complex challenges within and beyond education. David holds an M.S. in Statistics with a concentration in Data Science and a B.A. in Biomathematics from Rutgers University.

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