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
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.
Early Childhood Research Quarterly — Accepted
International Journal of Early Childhood Education
Journal of Applied Developmental Psychology
Early Childhood Education Journal
In C. J. McCarthy & R. G. Lambert (Eds.), Research on Teacher Stress. Information Age Publishing.
Education Finance and Policy
Early Education and Development
BYU Education & Law Journal
Early Child Development and Care
Working Paper — University of Washington
Working Paper — University of Washington
Working Paper — University of Washington
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.
Nuabi
Quasi-experimental design, propensity score matching, causal mediation analysis, difference-in-differences
Complex survey design, stratified sampling, design weights, automated analysis pipelines
Factor analysis, structural equation modeling, QRIS validation, multilevel modeling, dimensionality reduction
Topic modeling, policy text analysis, ensemble methods, variable selection, dimensionality reduction
Scaffolded mentoring, self-determination theory, first-author advocacy, curriculum development
Millions of observations across federal datasets, Census, CCD. Automated pipelines for experimentation analytics at Amazon.