Albert Liu is a User Experience Researcher and economist with eight years of experience leading large-scale, data-driven evaluations in education and workforce policy. He combines rigorous econometric and experimental methods with machine learning and NLP to transform administrative and unstructured data into actionable insights that have influenced multi-million dollar budget and program decisions. As a leader at Westat and previously Director of Education Research, he secured major funding and guided teams through complex analyses that reshaped policy and practice. Now at Meta, he brings a rare mix of academic rigor (PhD Cornell) and product-oriented research acumen to user experience challenges. He is comfortable shipping end-to-end analytics solutions—from processing millions of records and PDFs with Python to deploying predictive models—and enjoys applied ML/DL/NLP work beyond traditional economic analysis. A bilingual, multidisciplinary background in economics, math, cognitive psychology, and Mandarin informs his analytic creativity and stakeholder-focused communication.
8 years of coding experience
6 years of employment as a software developer
Certificate Mandarin Chinese, Certificate Mandarin Chinese at National Taiwan Normal University
PhD Economics, PhD Economics at Cornell University
BS Economics Mathematics Cognitive Psychology, BS Economics Mathematics Cognitive Psychology at Vanderbilt University
Contributions:18 commits, 17 pushes, 1 branch in 2 months
kerasnatural-language-processingnerbilstm-crfnlp
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