Giancarlo Schrementi is an assistant professor in the department of mathematics and statistics. Concurrently, he works in industry in the fields of data analytics and application development. In his spare time, he enjoys cooking and designing architectural models out of Legos.
Areas of Expertise
- Schrementi’s dissertation and academic work focused on computational linguistics, particularly models of language evolution and emergence. In industry, his work has been concentrated on development and deployment of data mining and machine learning tools.
Courses Taught
- Data Structures
- Data Science & Visualization
- Data Mining Techniques
Research Interests
- Schrementi’s research is devoted to keeping up with the fast-changing fields of data mining and machine learning, with a particular focus on unsupervised learning techniques.
Education
- Joint Ph.D. in Computer Science and Cognitive Science, Indiana University, 2011
- B.A. in Computer Science and Classical Civilization, Beloit College, 2001
Publications & Articles
- Giancarlo Schrementi and Michael Gasser. “Minimum Description Length and Generalization in the Evolution of Language.” In Proceedings of the 8th International Conference on the Evolution of Language. 2010.
- Giancarlo Schrementi and Michael Gasser. “Minimum Description Length and Generalization in the Evolution of Language.” In Proceedings of the 8th International Conference on the Evolution of Language. 2010.