Angelica Lo Duca is a researcher at the Institute of Informatics and Telematics of the National Research Council (CNR) in Italy, where her work covers data science, machine learning, text analytics, data visualization, data journalism, and web applications. She is also a professor at the University of Pisa, where she teaches Data Journalism, introducing students, including those from digital humanities backgrounds, to the craft of turning numbers into narratives.

Her own path is a case study in interdisciplinary curiosity: before settling into data science and data journalism, she worked across cryptography and web development, an evolution that shapes how she teaches and writes today. She advocates a practical writer’s workflow built on problem identification, solution development, and clear presentation of results, backed by reproducible code repositories and step-by-step clarity.

Angelica is a frequent voice on the tools and judgment behind good data storytelling. She writes and speaks about sourcing reliable datasets, working with query engines such as Presto and Trino, and choosing between Python scripting and visual analytics tools like Tableau, with an emphasis on visualization best practices, one concept per chart, and making complex information accessible to everyday readers. Through her research, teaching, and publishing, she helps professionals and journalists alike communicate data with rigor and impact.