Summary
Carolina Vieira is a computational social scientist and Postdoctoral Researcher with a decade of experience applying machine learning, statistics, and network analysis to demography and social data. Trained in computer science (B.S., M.S.) at UFMG—where she earned a "Best Student" award—she completed a Ph.D. trajectory across Max Planck and Universität des Saarlandes, blending rigorous research with applied data science. Her work bridges Digital and Computational Demography and software systems, reflecting dual appointments at Max Planck institutes and collaborative research at Saarland. She has a strong teaching and mentoring background (machine learning and deep learning courses) and practical experience tutoring and supporting undergraduate research. Carolina’s profile signals a rare combination of academic depth and hands-on engineering, informed by international training including a CMU summer program in ML/NLP. Based in Mecklenburg-Vorpommern, she is known for translating complex social-science questions into reproducible computational pipelines and statistical models.
10 years of coding experience
10 years of employment as a software developer
Doctor's Degree, Computer Science, Doctor's Degree, Computer Science at Universität des Saarlandes
Master's degree, Computer science, Master's degree, Computer science at Universidade Federal de Minas Gerais
Summer school, Machine Learning and NLP, Summer school, Machine Learning and NLP at Carnegie Mellon University
Portuguese, English, Spanish, German