Alberto Guzman-alvarez is a Senior Research Data Scientist based in Davis, CA with nine years of experience applying quantitative methods and AI/ML to education and social policy research. He holds advanced training in statistics and learning sciences from the University of Pittsburgh and has progressed from statistical and evaluation analyst roles to senior research positions at the American Institutes for Research. Alberto specializes in rigorous analysis of large datasets to produce evidence-based, equity-focused solutions and translates findings for diverse stakeholders, from policymakers to practitioners. He combines deep methodological rigor—rooted in his Ph.D.-level training—with practical program evaluation experience gained across university and research institute settings. A detail that sets him apart is his sustained focus on integrating machine learning techniques into traditional quantitative research to improve decision-making in education.
9 years of coding experience
7 years of employment as a software developer
B.S. Psychology - Biological Emphasis, B.S. Psychology - Biological Emphasis at University of California, Davis
Ph.D. Learning Sciences & Policy - Quantitative Methods, Ph.D. Learning Sciences & Policy - Quantitative Methods at University of Pittsburgh
Contributions:38 commits, 41 pushes, 1 branch in 2 years 3 months
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