Imanol Ibarra
Research Scientist at Facebook AI
California, United States
Summary
👤
Senior🎓
Top SchoolImanol Ibarra is a Research Scientist in Responsible AI with 11 years of experience applying operations research and machine learning to fairness, interpretability, and the societal impacts of AI. With a PhD from Stanford, he has led research at Meta/Facebook AI on fair generative models and algorithmic harms while earlier work quantified the economic value of data and studied network effects of metadata-driven algorithms like phone-based credit scoring. His portfolio spans applied experiments for development—personalized adaptive interventions for low-income populations, A/B testing, and efficient charitable allocation—to policy-relevant methods for dignified data collection, privacy, and worker retraining. Comfortable moving between field experiments, econometric analysis, and ML research, he brings a rare combination of technical rigor and real-world impact focus grounded in economics and operations research. An often-overlooked strength is his history of translating academic insights into operational plans for organizations, from cryptocurrency economics to payment system design.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Applied Mathematics, Bachelor of Science (B.S.) Applied Mathematics at Instituto Tecnológico Autónomo de MéxicoDoctor of Philosophy (PhD) Operations Research, Doctor of Philosophy (PhD) Operations Research at Stanford University
French, English, Spanish, Italian
Github Skills (7)
deep-learning5
machine-learning5
artificial-intelligence5
python3
science3
data-science2
pandas2
Programming languages (1)
Github contributions (5)
imanolarrieta/angrybirds
Oct 2015 - Dec 2015
Contributions:53 commits, 22 pushes, 1 branch in 1 month
deep-learningartificial-intelligencemachine-learning
imanolarrieta/edgematching
Nov 2015 - Jan 2016
Contributions:22 pushes, 1 branch in 2 months
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