Nail Hassairi

Economist · Researcher · Data Scientist

I study how early childhood programs shape lives.
I use data to make the case for what works.

I am a quantitative researcher with a decade of experience at the intersection of economics, data science, and early childhood education policy.

My work spans causal inference, program evaluation, large-scale survey design, and machine learning—applied to questions that matter: How do we measure the quality of care young children receive? What drives disparities in access and outcomes? How can data move policy?

I hold a PhD in Economics from the University of Washington and have worked as a data scientist at Amazon, where I built analytics infrastructure for experimentation at scale. My research has been published in journals including Education Finance and Policy, PLOS ONE, Early Education and Development, and the Journal of Applied Developmental Psychology.

Before all of this, I was born in Zaghouan, Tunisia. I grew up in Prague, studied economics at Charles University, and crossed the Atlantic on an exchange program that became a fifteen-year chapter in Seattle. I now live in Prague again—Holešovice—where the work continues.

Education PhD Economics
University of Washington
Industry Data Scientist
Amazon
Publications 9 peer-reviewed articles
7+ technical reports
Recognition WERA Distinguished
Paper Award, 2021
2006–2010 Charles University, Prague BS Economics, Institute of Economic Studies
2010–2017 University of Washington PhD Economics
2013–2015 Amazon Data Scientist — experimentation, causal inference at scale
2017–2021 University of Washington Postdoctoral Fellow, Bill & Melinda Gates Foundation initiative
2021–2024 University of Washington Senior Research Scientist — led federally funded early childhood research
2024– Independent Researcher Causal mediation, policy analysis, early learning systems
2025

Longitudinal impact of child care and home environments on low-income children’s development

Journal of Applied Developmental Psychology

Wang, Y., & Hassairi, N.

R&R

Why Head Start impacts on vocabulary and emergent literacy were larger for Dual Language Learners: A causal mediation analysis

Early Childhood Research Quarterly

Park, S. O., & Hassairi, N.

2022

Prioritizing school finance equity during an economic downturn: Recommendations for state policymakers

Education Finance and Policy

Knight, D. S., Hassairi, N., Candelaria, C. A., Sun, M., & Plecki, M. L.

2021

What predicts legislative success of early care and education policies? Applications of machine learning and natural language processing

PLOS ONE

Park, S. O., & Hassairi, N.

2022

Habla conmigo: Teachers’ Spanish talk and Latine dual language learners’ school readiness skills

Early Education and Development

Limlingan, M. C., McWayne, C., & Hassairi, N.

Full publication list available upon request.

Causal Inference

Quasi-experimental design, propensity score matching, causal mediation analysis, difference-in-differences

Survey & Measurement

Complex survey design, stratified sampling, design weights, psychometrics, validation studies

Statistical Modeling

Multilevel modeling, structural equation modeling, threshold analysis, power analysis

Machine Learning & NLP

Topic modeling, policy text analysis, ensemble methods, variable selection, dimensionality reduction

Tools

R, Stata, Python, LaTeX, SQL, AWS (EC2, S3), GIS mapping, interactive dashboards

Data at Scale

Millions of observations across federal datasets, Census, CCD. Automated pipelines for experimentation analytics at Amazon.

Let’s talk.

I’m open to research collaborations, consulting, and academic positions in early childhood policy, education data science, and applied economics.