Summary
Victoria Ritvo is a data scientist and researcher with 14 years of experience blending neuroscience, psychology, and production analytics to drive actionable insights. She earned a PhD-level research pedigree at Princeton studying learning, memory, and mental health, then applied that expertise to build end-to-end ML pipelines for public health interventions during a Data Science for Social Good fellowship and at Flatiron Health as a Data Insights Engineer. Victoria’s work spans experimental design (including real-time fMRI), multivariate modeling, and operationalizing predictive systems that prioritized high-risk individuals with measurable precision gains. Now at the Recurse Center, she combines deep domain knowledge of cognition with practical data engineering skills in Python and SQL to tackle socially impactful problems. Notably, her background bridges rigorous lab science and deployed healthcare analytics—an uncommon mix that helps translate complex behavioral signals into real-world interventions.
13 years of coding experience
7 years of employment as a software developer
Bachelor of Arts - BA Pyschology & Philosophy, Bachelor of Arts - BA Pyschology & Philosophy at Columbia University
Doctor of Philosophy - PhD Psychology & Neuroscience, Doctor of Philosophy - PhD Psychology & Neuroscience at Princeton University