Plinio Rafael Durango Peluffo

Plinio Rafael Durango Peluffo is a graduating Data Science student at University of San Francisco with a background that bridges engineering, statistics, and applied machine learning. Before pursuing data science, he earned a degree in Chemical Engineering from Universidad San Buenaventura, where he developed a strong analytical and problem-solving foundation. His academic and project work focuses on machine learning, statistical modeling, predictive analytics, and healthcare-related data applications using Python, SQL, R, and scikit-learn. He has built projects involving cancer recurrence prediction, hospital patient clustering, crime trend analysis, and large-scale data modeling, with a particular interest in understanding patterns in complex real-world systems.

At the BRITE Institute, Plinio is especially interested in the responsible use of artificial intelligence in healthcare and the role of data-driven methods in improving patient outcomes and decision-making. His work aligns with BRITE’s mission through the application of interpretable machine learning, statistical inference, and healthcare analytics to support safer and more reliable AI systems. Drawing from both his technical training and personal experiences in caregiving, he is motivated by the human side of data science and the potential for ethical AI to create meaningful impact in healthcare settings.

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