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Associate Professor of Computational Data Science in Pediatrics at the Columbia University Medical Center
Paul Curtin is an Associate Professor of Computational Data Science (in Pediatrics) at Columbia University Medical Center. His research integrates environmental health, neuroscience, and child development, focusing on how early-life exposures—including air pollution, phthalates, and prenatal SARS-CoV-2—shape neurodevelopment and psychopathology. Recent work introduces sRQA, a pipeline for symbolic recurrence quantification analysis, and validates the revised Postpartum Bonding Questionnaire (PBQ-R) in U.S. cohorts. His studies examine how early relational health moderates stress effects on child outcomes, with publications in *Human Reproduction* and the *Infant Mental Health Journal*.
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Paul Curtin
Columbia University
Associate Professor of Computational Data Science in Pediatrics at the Columbia University Medical Center