- Computational Intelligence for the Humanities
- Unsupervised Machine Learning
- Computational Linguistics
- Functional Programming
- Philosophy of Language
Tom Lippincott is an assistant research professor of computer science affiliated with the Center for Language and Speech Processing and research scientist in the Human Language Technology Center of Excellence, with secondary appointment in the Alexander Grass Humanities Institute.
His research focuses on how machine learning can support and facilitate traditional scholarship in the humanities, particularly the use of unsupervised models structured for interpretability and isomorphism with respect to a domain of interest. He received his B.A. in Philosophy and Computer Science from the University of Chicago (’06), M.S. in Computer Science from Columbia University (’08) and PhD in Computational Linguistics from Cambridge University (’15).