Method before software
The analysis starts with your research question, design, and data—not a favorite technique or a menu of tests.

YOUR STATISTICIAN
A statistician, psychometrician, and research partner who believes you should understand every decision behind your analysis.
Dr. Yel brings more than 15 years of applied statistical experience across education, psychology, healthcare, legal research, and technology. His work spans study design, measurement, multilevel modeling, structural equation modeling, randomized trials, and reproducible analysis in R.
EXPERIENCE THAT TRAVELS WELL
Dr. Yel earned his PhD in psychometrics and has served as a Harvard Strategic Data Fellow. He has worked as a statistician, methodologist, researcher, and Co-Principal Investigator on federally and foundation-funded projects.
His experience includes statistical support for a National Science Foundation randomized trial conducted across 22 colleges, Co-PI leadership on an Institute of Education Sciences project focused on sustaining evidence-based practices in schools, healthcare outcomes research with the Boston VA, and large-scale education and access-to-justice studies.
Today, he also works as a Senior Data Scientist building AI products. Across settings, the aim is the same: choose methods that fit the question, make the reasoning transparent, and produce results that hold up to scrutiny.
A TEACHER AS WELL AS A STATISTICIAN
Dr. Yel’s teaching experience shapes every consultation: explain the reasoning, give useful feedback, and make sure the researcher can use and defend what they learn.
“I came in intimidated by the idea of quantitative analysis and now I feel confident using it if I choose to.”
Graduate course evaluation · Spring 2025
“This course was the best experience with advanced statistics that I could have asked for—the instructor provided extremely valuable resources for running statistical analyses and gave very detailed and supportive individualized feedback.”
Graduate course evaluation · Spring 2026
“Dr. Yel is very knowledgeable about quantitative methods and cares about supporting his students’ understanding.”
Graduate course evaluation · Spring 2025
WHAT THIS MEANS FOR YOUR DISSERTATION
You work directly with the statistician doing the work.
The analysis starts with your research question, design, and data—not a favorite technique or a menu of tests.
You learn why a method fits, what its assumptions mean, and how to discuss the result with your committee.
Your deliverables include reproducible code, interpretable output, and a clear account of limitations.
SELECTED PUBLICATIONS
BRING THE QUESTION THAT'S HOLDING YOU UP
Meet with Dr. Yel for a free 30-minute consultation about your study, data, or committee feedback.
Book a free consultation