Nedim has a PhD specializing in Measurement, Statistics, and Methodological Studies (psychometrics) and more than 15 years of experience in NSF-, IES- and foundation-funded research, from randomized trials across 22 colleges to school accountability, access to justice and health-system studies. He is a Harvard Strategic Data Fellow, and today also works as a Senior Data Scientist building AI products.
His methods work centers on measurement and multilevel data: validating scales, modeling growth in nested and longitudinal designs, and planning sample sizes that hold up to a methods reviewer. His doctoral research at Arizona State University examined sample sizes in longitudinal three-level models. In health research, he has worked on multi-site programs built on electronic health records, including the VA and American Heart Association's VALOR-QI program, published in JACC: Advances.
Since 2019, Nedim has led DASS's statistical consulting work, helping research teams plan studies, analyze data and understand their findings. He also leads the firm's free tools, including the power calculators, the APA results formatters and the AI-evaluation model-comparison calculator.
Nedim taught full time at the University of Massachusetts Boston from 2019 to 2022 and returned to teach individual courses in 2024, 2025 and 2026. His teaching has included graduate research methods and evaluation, intermediate statistics and advanced statistics. That experience informs his work with research teams: explaining why a method fits, walking through assumptions and helping collaborators interpret findings and limitations.
He holds a master's degree in Technical Communication and Rhetoric from Texas Tech University and has taught technical writing and communication at Texas Tech and Arizona State University. This background supports his approach to reports, figures and results discussions: making the reasoning accessible to the audience while keeping assumptions and uncertainty explicit.
Nedim's collaboration with research teams includes several years of statistical and methodological work at Indiana University. As a Research Scientist at the Center for Evaluation and Education Policy from 2016 to 2018, he supported evaluations of the Fulbright Distinguished Awards in Teaching Program and New Jersey charter schools, including fiscal analysis. As Senior Statistician in the Mind and Identity in Context Lab from 2017 to 2022, he provided statistical, methodological and data support for research on bar-exam performance, women's experiences in STEM and school-discipline interventions.
Since founding DASS in 2019, he has continued that work through individual projects and ongoing consulting relationships. He works with collaborators on study planning, data management, analysis and interpretation, helping teams translate substantive questions into an analysis plan, address the structure and limitations of their data, and explain what their findings support. His experience with multilevel and longitudinal data is particularly relevant to studies that follow participants over time or involve students, schools, clinics or other nested settings.
Journal-issue years are shown where available. Earlier online publication dates and accepted manuscripts are identified separately.
Conference presentations and abstracts also report VALOR-QI outcomes.
Explore publications on Google Scholar, ORCID and PubMed.
A free consult is the fastest way to find out what your project actually needs.
Book a free consult