Summary
Juan Lopez-martin is a Fulbright-funded graduate researcher at Columbia University with 11 years of applied research experience at the intersection of cognitive science, social data science, and probabilistic modeling. He specializes in multilevel regression and poststratification, causal inference, and NLP to study how data shapes human behavior, public policy, education, and environmental outcomes. His work spans top institutions (Columbia, Oxford, Harvard) and includes projects on social media echo chambers, precision medicine grant analysis, and election misinformation, reflecting a rare mix of methodological rigor and real-world impact. With a Distinction-winning MS from Oxford and a 4.0 MA at Columbia, he combines Bayesian and probabilistic-programming techniques with social-science theory to extract actionable insights from noisy human-centered data. An understated strength is his ability to translate technical innovations into policy-relevant narratives that inform stakeholders beyond academia.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Psychology, Extraordinary Prize of Degree, Bachelor's degree, Psychology, Extraordinary Prize of Degree at Universidad Aut贸noma de Madrid
Master of Science - MS, Social Data Science, Graduated with Distinction, Master of Science - MS, Social Data Science, Graduated with Distinction at University of Oxford
Erasmus+, Erasmus+ at Universiteit Maastricht
Master of Arts - MA, Quantitative Methods in the Social Sciences, Current GPA: 4.00/4.00, Master of Arts - MA, Quantitative Methods in the Social Sciences, Current GPA: 4.00/4.00 at Columbia University in the City of New York