Diogo Ribeiro is a data scientist and mathematician with interests in data science, artificial intelligence, statistical modelling, and decision-support systems. His work spans machine learning, time series analysis, longitudinal data analysis, anomaly detection, and applied analytical methods for real-world problems. With experience connecting research, data analysis, and practical application, he is particularly interested in rigorous and interpretable methods that support both scientific advancement and informed decision-making. He welcomes opportunities to contribute to the evaluation and dissemination of high-quality research in data science and artificial intelligence.
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