Nail Hassairi

Economist · Researcher · Data Scientist

I study how people learn—from preschool classrooms to AI-powered platforms.
I use economics, data science, and experimentation to find what works.

I am an economist and data scientist with a decade of experience applying causal inference, machine learning, and econometrics to problems that range from early childhood policy to marketing optimization to production systems at Amazon.

I hold a PhD in Economics from the University of Washington. At Amazon, I built a discrete choice econometric model for the buy box—the algorithm that decides which seller wins the sale—and led the A/B testing program that validated it against millions of live customer sessions. At Cultivate Learning (University of Washington), I spent seven years as a postdoctoral fellow and then senior research scientist, leading the quantitative work on program evaluations, stepped wedge trials, survey design, and quality measurement systems that shaped early childhood policy across multiple states.

Along the way, I mentored junior researchers—writing scaffolded assignments, matching people to problems they cared about, and fighting for their first-author credit on published work. I also applied natural language processing to 4,000 pieces of state legislation, built dynamic panel models for marketing channel optimization, and ran field experiments on Mechanical Turk to test fundamental predictions of labor economics. My research has been published in Education Finance and Policy, PLOS ONE, Early Education and Development, Early Childhood Research Quarterly, and the Journal of Applied Developmental Psychology.

In 2024, I founded Frontier Enterprises—a company building AI-powered learning tools grounded in the science of spaced repetition, feedback, and retention. It is the crystallization of everything I have learned: computer science, causal inference, education research, and the conviction that learning can be made radically more efficient.

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
Best 2nd-Year PhD Paper, UW, 2013
Buechel Fellowship, UW, 2011
Hall Fellowship, UW, 2010
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
2024– Frontier Enterprises Founder — AI-powered learning tools built on spaced repetition science
2026

Differential pathways of parenting support: Exploring Head Start’s stronger effects on the early literacy skills of Dual Language Learners

Early Childhood Research Quarterly — Accepted

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

2021

Segregation and school funding disparities in California: Contemporary trends 50 years after Serrano

BYU Education & Law Journal

Knight, D. S., Hassairi, N., & Martinez, D. G.

2023

ECE Research Manual

125-page methods guide for junior early childhood education researchers. Covers research question formulation, hypothesis testing, literature reviews, pre-registration, causal inference, mediation analysis, R programming, effect sizes, survey data analysis, power analysis, IRB, and journal selection.

Hassairi, N.

2006

Vladimír Hučín: Není to o mně, ale o nás

Nuabi

Hučín, V., Navara, D., & Hassairi, N.

Let’s talk.

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