Enrico Bertini
Associate Professor
Research interests
- Visualization
- Machine learning
Education
- PhD in Computer Engineering, University of Rome, La Sapienza — Italy
Biography
Enrico Bertini is an associate professor in the Khoury College of Computer Science and the College of Arts, Media and Design at Northeastern University, based in Boston.
Bertini works on data visualization interfaces to help people make sense of the world through data. In recent years, his work has focused on the use of visual interfaces to explore, validate, and understand machine learning models and systems. His research also aims to advance the theoretical and empirical understanding of how people extract information and meaning from visual representations.
Between 2006 and 2012, Bertini was a research scientist at the University of Fribourg in Switzerland and the University of Konstanz in Germany. In 2012, he joined the NYU School of Engineering as an assistant professor; he was promoted to the rank of associate professor in 2018. Bertini is the co-host of Data Stories, a popular podcast series that discusses the role of data in everyday life.
Labs and groups
Recent publications
-
Visual Exploration of Machine Learning Model Behavior With Hierarchical Surrogate Rule Sets
Citation: Jun Yuan, Brian Barr, Kyle Overton, Enrico Bertini. (2024). Visual Exploration of Machine Learning Model Behavior With Hierarchical Surrogate Rule Sets IEEE Trans. Vis. Comput. Graph., 30, 1470-1488. https://doi.org/10.1109/TVCG.2022.3219232 -
The Arrangement of Marks Impacts Afforded Messages: Ordering, Partitioning, Spacing, and Coloring in Bar Charts
Citation: Racquel Fygenson, Steven Franconeri, Enrico Bertini. (2023). The Arrangement of Marks Impacts Afforded Messages: Ordering, Partitioning, Spacing, and Coloring in Bar Charts CoRR, abs/2308.13321. https://doi.org/10.48550/arXiv.2308.13321 -
SliceLens: Guided Exploration of Machine Learning Datasets
Citation: Daniel Kerrigan, Enrico Bertini. (2023). SliceLens: Guided Exploration of Machine Learning Datasets HILDA@SIGMOD, 1:1-1:7. https://doi.org/10.1145/3597465.3605217
